Bata India is adjusting its strategies due to changing consumer spending patterns. The company is introducing more affordable products and partnering with quick commerce platforms like Zepto to cater to budget-conscious consumers while continuing its premiumization efforts and offline expansion plans.

1. Jio Financial Services shares surge over 6% on inclusion in F&O segment  The Economic Times
2. Zomato Surges 5% On Inclusion In F&O Segment, Swiggy's Listing; Details  News18
3. NSE to introduce futures and options contracts on 45 stocks from November 29, here's the full list  Moneycontrol
4. Jio Financial, Zomato potential Nifty inclusion candidates? Here is what analysts said  CNBCTV18
5. Exchanges make 45 new additions in the F&O following new eligibility norms | News on Markets  Business Standard

Waxaa manta si rasmi ah loo fariisiyey Golaha Deegaanka ee degmada Dangoroyo kuwaas oo ku soo…

The post Degmada Dangoroyo ee dowladda Puntland oo yeelatey maamul cusub appeared first on Horseed Media.

1. NSE expands F&O segment with 45 new stocks, including Zomato, Jio Financial, LIC, DMart, and Paytm; check full list  Upstox
2. NSE to introduce futures and options contracts on 45 stocks from November 29, here's the full list  Moneycontrol
3. Jio Financial, Zomato potential Nifty inclusion candidates? Here is what analysts said  CNBCTV18
4. Exchanges make 45 new additions in the F&O following new eligibility norms | News on Markets  Business Standard
5. NSE adds 45 new stocks to F&O segment; Jio Financial, Zomato among notable entrants  The Economic Times

Elections are being held at Madarihat, Sitai, Taldangra, Medinipur, Naihati, and Haroa. The polling till 5 p.m. was 69.29% on an average across the six constituencies.

Today, Poste Italiane has approved the results for the third quarter of 2024, revealing another set of strong results.

A unique population of ventral tegmental area (VTA) neurons co-transmits glutamate and GABA. However, the circuit inputs to VTA VGluT2+VGaT+ neurons are unknown, limiting our understanding of their functional capabilities. By coupling monosynaptic rabies tracing with intersectional genetic targeting in male and female mice, we found that VTA VGluT2+VGaT+ neurons received diverse brainwide inputs. The largest numbers of monosynaptic inputs to VTA VGluT2+VGaT+ neurons were from superior colliculus (SC), lateral hypothalamus (LH), midbrain reticular nucleus, and periaqueductal gray, whereas the densest inputs relative to brain region volume were from the dorsal raphe nucleus, lateral habenula, and VTA. Based on these and prior data, we hypothesized that LH and SC inputs were from glutamatergic neurons. Optical activation of glutamatergic LH neurons activated VTA VGluT2+VGaT+ neurons regardless of stimulation frequency and resulted in flee-like ambulatory behavior. In contrast, optical activation of glutamatergic SC neurons activated VTA VGluT2+VGaT+ neurons for a brief period of time at high frequency and resulted in head rotation and arrested ambulatory behavior (freezing). Stimulation of glutamatergic LH neurons, but not glutamatergic SC neurons, was associated with VTA VGluT2+VGaT+ footshock-induced activity and inhibition of LH glutamatergic neurons disrupted VTA VGluT2+VGaT+ tailshock-induced activity. We interpret these results such that inputs to VTA VGluT2+VGaT+ neurons may integrate diverse signals related to the detection and processing of motivationally salient outcomes.

The Basic Christian: blog Bible Study in 10 segments:

1. Genesis, Exodus, Leviticus, Numbers, Deuteronomy, Joshua

2. Matthew, James, Romans, Galatians, Hebrews

3. Judges, Ruth, 1st Samuel, 2nd Samuel, 1st Kings, 2nd Kings

4. Jonah, Amos, Hosea, Isaiah, Micah, Nahum {Early period Prophets - Assyrian activity, attack on Jerusalem thwarted}

5. Jeremiah, Habakkuk, Zephaniah, Obadiah, Daniel, Ezekiel {Middle period Prophets - destruction of Jerusalem, Solomon's Temple destroyed and the Babylonian captivity}

6. Luke, Acts, 1st Corinthians, 2nd Corinthians, Ephesians, Philippians, Colossians, 1st Thessalonians, 2nd Thessalonians

7. Mark, 1st Timothy, 2nd Timothy, Titus, Philemon, 1st Peter, 2nd Peter

8. Job, Psalms, Proverbs, Song of Solomon, Ecclesiastes, Lamentations

9. 1st Chronicles, 2nd Chronicles, Ezra, Nehemiah, Esther, Haggai, Zechariah, Joel, Malachi {Later period Prophets - The return from Babylon, awaiting the coming Messiah}

10. John, 1st John, 2nd John, 3rd John, Jude, Revelation

Atop many business award programs sits privately-held and family-run Wegmans grocery stores, from No. 4 on FORBES list of Americas Best Employers. Based in Rochester, NY, the supermarket has an ardent fan base – including Alec Baldwins mother, who refused to move to California and give up her access to the grocery store – and legions of die-hard shoppers.

And who can blame them? Clean stores, huge inventories, reasonable prices and a seeming dedication to making life easier for its customers, Wegmans offers many lessons small businesses can learn from and apply.

complete article

(EMAILWIRE.COM, October 26, 2024 ) Gallium Nitride, also known as GaN, is a semiconductor material that optimizes power density. Utilizing GaN components in an RF amplifier enables the attainment of high-output power without the need for size and weight expansion. High frequency, high power, and...

(EMAILWIRE.COM, October 26, 2024 ) There is anticipation for a steady growth in the Shea Butter Market because of its rising popularity in both food and cosmetics industries. Consumers who prefer natural products often choose Raw & Unrefined Shea Butter. The Personal Care & Cosmetics sector consumes...

At a time when most passenger vehicle brands are shifting focus towards SUVs, Maruti believes it's crucial to have a strong product line-up across all mass-market segments, including sedans, for a high market share.

“Although the SUV segment is growing, all other segments are equally important for us; Because, to retain our high market share, we have to have a presence in each segment. Especially in the sedan segment, which is traditionally very important,” MD and CEO Hisashi Takeuchi said on the sidelines of the new Dzire launch.

1. Maruti has spent Rs 1,000 crore on developing the fourth-gen Dzire
2. Sedans currently account for around 8 percent of the total PV volume
3. Maruti aims to increase sedan market to 10 percent with the new Dzire

New Dzire to rejuvinate compact sedan segment 

Hatchbacks or small cars and sedans have seen a significant decline in sales over the past decade, leading automakers to put their major focus on SUVs, with several even vacating the small car space altogether. The sedan segment has also been missing major product action for some time now. For Maruti, however, things are slightly different, as the brand continues to focus on popular models like the Dzire, with timely updates and model changes.

“The compact sedan is a very reliable and stable segment. We can count on stable numbers all the time,” Takeuchi said. The automaker spent Rs 1,000 crore on the design, development, and production of the new 4th-generation Dzire, which comes with the Swift’s 1.2-litre three-cylinder Z12E engine and a slew of new features, including added safety tech.

With the new Dzire, the automaker expects to re-energise the segment. “Taking a long perspective, by 2030, we feel the passenger vehicle market will be around 60 lakh units and sedans will still have a reasonable pie of close to 10 percent,” said senior executive officer for Marketing and Sales Partho Banerjee.

Sedans currently account for around 8 percent of the total passenger vehicle volume and compact sub-4 meter models contribute to approximately 70 percent of that segment. Maruti Suzuki is the market leader in the compact sedan space with a share of around 60 percent. Last year, it sold around 1.6 lakh units of the Dzire.

The Dzire generates a significant part of its sales from the fleet segment, where it is exclusively sold as the low-frills 'Tour S' variant for fleet operators. Around 65-70 percent of the Dzire sales come from the personal segment, while the rest account for the fleet segment.

“With the previous-generation Dzire, there was a challenge to meet the different requirements of personal and fleet customer segments. So, we used to keep a balance to serve both segments,” Banerjee said.

However, in a bid to prioritise the requirement of private buyers, Maruti is offering the fourth-generation Dzire only for personal mobility. For fleet users, the automaker will continue with the previous-generation Dzire, branded as Maruti Tour S. Apart from the Dzire, the Tata Tigor, Honda Amaze, and Hyundai Aura are other models in the compact sedan space. 

With inputs from Yukta Mudgal

Also see:

2024 Maruti Suzuki Dzire review: India's favourite sedan massively updated

2024 Maruti Dzire image gallery

New Maruti Dzire video review 

Unveiling the updated version of its Seltos, Kia India aims to garner a 10% market share in the domestic passenger vehicle segment

This is the first of a five-part series of articles where I look at the best affordable EVs in each size category. There are plenty of good EVs right now, but one of the main challenges continues to be their price and how much more expensive they are compared to ... [continued]

The post Best Value for Money EVs — City Cars (A Segment) appeared first on CleanTechnica.

This is the second of a five-part series of articles (you can check the first part here), where I look at the best affordable EVs in each size category. There are plenty of good EVs right now, but one of the main challenges continues to be their price and how ... [continued]

The post Best Value for Money EVs — Subcompacts (B Segment) appeared first on CleanTechnica.

Christ is Risen! Indeed He is Risen! This is the anthem of Pascha, and since it was in fact Holy Week and Pascha last week, we have decided to "go lite" this program hour and air a 20-minute interview segment we did last month with local Phoenix evangelical drive-time radio program host Andrew Tallman in lieu of a full study hour. So enjoy, and next week we'll tackle another topic. A blessed Bright Week to all.

The other day I wrote an ebook about motivational segmentation. It wasn't called that, because, seriously, who would choose to read something with that title. Instead, I called the eBook, Grow Your Coaching Practice 8X With One Single Sales Strategy. But what I shared in that free eBook isn't just for coaches. I would submit ... Read more

The post Motivational Segmentation appeared first on Chris Lema.

Advanced marketing techniques such as Account-based Marketing (ABM) and 1-1 marketing require a more individualised approach than traditional inbound marketing tactics. No longer can we paint with a broad brush, as marketers. We must find ways to speak directly with individuals, rather than an audience.

Imagine you have a large translation memory in Translator’s Workbench (Trados 2007) format with thousands of units and one day, when you try to open the TM, you get this error: “50050: Source segment is empty!” You cannot use the TM … Continue reading →

In this paper a line detection and segmentation technique is presented. The proposed technique is an improved version of an older one. The experiments have been performed on the training dataset of the ICDAR 2009 handwriting segmentation contest in order to be able to compare, objectively, the performance of the two techniques. The improvement between the older and newer version is more than 24% while the average extra CPU time cost is less than 200 ms per page.

This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under a few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water flow angle and unwetted image frames function enlargement. Results are encouraging due to text line segmentation improvement which is the most challenging process stage in document image processing.

Aim/Purpose: This study aims to create customer segmentation who use Online Travel Agent (OTA) mobile applications in Indonesia throughout their hotel booking journey. Background: In the context of mobile hotel booking applications, research analyzing the customer experience at each customer journey stage is scarce. However, literature increasingly acknowledges the significance of this stage in comprehending customer behavior and revenue streams. Methodology: This study employs a mixed-method and exploratory approach by doing in-depth interviews with 20 participants and questionnaires from 207 participants. Interview data are analyzed using thematic analysis, while the questionnaires are analyzed using descriptive statistics. Contribution: This study enriches knowledge in understanding customer behavior that considers the usage of mobile apps as a segmentation criterion in the hotel booking journey. Findings: We developed four user personas (no sweat player, spotless seeker, social squad, and bargain hunter) that show customer segmentation based on the purpose, motivation, and actions in each journey stage (inspiration, consideration, reservation, and experience). Recommendations for Practitioners: The resulting customer segmentation enables hospitality firms to improve their current services by adapting to the needs of various segments and avoiding unanticipated customer pain points, such as incomplete information, price changes, no social proof, and limited payment options. Recommendation for Researchers: The quality and robustness of the customer segment produced in this study can be further tested based on the criteria of homogeneity, size, potential benefits, segment stability, segment accessibility, segment compatibility, and segment actionability. Impact on Society: This study has enriched the existing literature by establishing a correlation between user characteristics and how they use smartphones for tourism planning, focusing on hotel booking in mobile applications. Future Research: For future research, each customer segment’s demographic and behavioral factors can be explored further.

Yuan LI,Tingting HU,Ryuji FUCHIKAMI,Takeshi IKENAGA, Vol.E107-D, No.11, pp.1396-1407
1 millisecond (1-ms) vision systems are gaining increasing attention in diverse fields like factory automation and robotics, as the ultra-low delay ensures seamless and timely responses. Superpixel segmentation is a pivotal preprocessing to reduce the number of image primitives for subsequent processing. Recently, there has been a growing emphasis on leveraging deep network-based algorithms to pursue superior performance and better integration into other deep network tasks. Superpixel Sampling Network (SSN) employs a deep network for feature generation and employs differentiable SLIC for superpixel generation. SSN achieves high performance with a small number of parameters. However, implementing SSN on FPGAs for ultra-low delay faces challenges due to the final layer’s aggregation of intermediate results. To address this limitation, this paper proposes an aggregated to pipelined structure for FPGA implementation. The final layer is decomposed into individual final layers for each intermediate result. This architectural adjustment eliminates the need for memory to store intermediate results. Concurrently, the proposed structure leverages decomposed layers to facilitate a pipelined structure with pixel streaming input to achieve ultra-low latency. To cooperate with the pipelined structure, layer-partitioned memory architecture is proposed. Each final layer has dedicated memory for storing superpixel center information, allowing values to be read and calculated from memory without conflicts. Calculation results of each final layer are accumulated, and the result of each pixel is obtained as the stream reaches the last layer. Evaluation results demonstrate that boundary recall and under-segmentation error remain comparable to SSN, with an average label consistency improvement of 0.035 over SSN. From a hardware performance perspective, the proposed system processes 1000 FPS images with a delay of 0.947 ms/frame.
Publication Date: 2024/11/01

Zhigang WU,Yaohui ZHU, Vol.E107-D, No.11, pp.1385-1395
This article focuses on improving the BiSeNet v2 bilateral branch image segmentation network structure, enhancing its learning ability for spatial details and overall image segmentation accuracy. A modified network called “BiconvNet” is proposed. Firstly, to extract shallow spatial details more effectively, a parallel concatenated strip and dilated (PCSD) convolution module is proposed and used to extract local features and surrounding contextual features in the detail branch. Continuing on, the semantic branch is reconstructed using the lightweight capability of depth separable convolution and high performance of ConvNet, in order to enable more efficient learning of deep advanced semantic features. Finally, fine-tuning is performed on the bilateral guidance aggregation layer of BiSeNet v2, enabling better fusion of the feature maps output by the detail branch and semantic branch. The experimental part discusses the contribution of stripe convolution and different sizes of empty convolution to image segmentation accuracy, and compares them with common convolutions such as Conv2d convolution, CG convolution and CCA convolution. The experiment proves that the PCSD convolution module proposed in this paper has the highest segmentation accuracy in all categories of the Cityscapes dataset compared with common convolutions. BiConvNet achieved a 9.39% accuracy improvement over the BiSeNet v2 network, with only a slight increase of 1.18M in model parameters. A mIoU accuracy of 68.75% was achieved on the validation set. Furthermore, through comparative experiments with commonly used autonomous driving image segmentation algorithms in recent years, BiConvNet demonstrates strong competitive advantages in segmentation accuracy on the Cityscapes and BDD100K datasets.
Publication Date: 2024/11/01

A new EU BON derived paper, publsihed recently in the journal Remote Sensing, introduces eHabitat+, a habitat modelling service supporting the European Commission’s Digital Observatory for Protected Areas.

Abstract:

Protected areas (PAs) need to be assessed systematically according to biodiversity values and threats in order to support decision-making processes. For this, PAs can be characterized according to their species, ecosystems and threats, but such information is often difficult to access and usually not comparable across regions. There are currently over 200,000 PAs in the world, and assessing these systematically according to their ecological values remains a huge challenge. However, linking remote sensing with ecological modelling can help to overcome some limitations of conservation studies, such as the sampling bias of biodiversity inventories. The aim of this paper is to introduce eHabitat+, a habitat modelling service supporting the European Commission’s Digital Observatory for Protected Areas, and specifically to discuss a component that systematically stratifies PAs into different habitat functional types based on remote sensing data. eHabitat+ uses an optimized procedure of automatic image segmentation based on several environmental variables to identify the main biophysical gradients in each PA. This allows a systematic production of key indicators on PAs that can be compared globally. Results from a few case studies are illustrated to show the benefits and limitations of this open-source tool.

Original Source: 

Martínez-López, J.; Bertzky, B.; Bonet-García, F.J.; Bastin, L.; Dubois, G. Biophysical Characterization of Protected Areas Globally through Optimized Image Segmentation and Classification. Remote Sens. 2016, 8, 780. DOI: 0.3390/rs8090780

Holcim has completed its acquisition of OX Engineered Products, a leader in advanced wall insulation and sheathing solutions. OX Engineered Products will now operate as a standalone line of business within Holcim Building Envelope.

The International Foodservice Manufacturers Association (IFMA) released its final 2023 estimates and its latest 2024 Food Away-From-Home (FAFH) Industry and Segment Projections.

Unlike the residential market, which is essentially single family housing and most often dealing with remodels, the commercial sector is a vast sea of segments, ranging anywhere from corporate offices to healthcare to education to hospitality to retail to government/military and technically anything else not handled by the typical neighborhood retailer.

Laminate flooring is a segment growing in usage and profitability in some areas, but losing ground in others.

Bone material contains a hierarchical network of micro- and nano-cavities and channels, known as the lacuna-canalicular network (LCN), that is thought to play an important role in mechanobiology and turnover. The LCN comprises micrometer-sized lacunae, voids that house osteocytes, and submicrometer-sized canaliculi that connect bone cells. Characterization of this network in three dimensions is crucial for many bone studies. To quantify X-ray Zernike phase-contrast nanotomography data, deep learning is used to isolate and assess porosity in artifact-laden tomographies of zebrafish bones. A technical solution is proposed to overcome the halo and shade-off domains in order to reliably obtain the distribution and morphology of the LCN in the tomographic data. Convolutional neural network (CNN) models are utilized with increasing numbers of images, repeatedly validated by `error loss' and `accuracy' metrics. U-Net and Sensor3D CNN models were trained on data obtained from two different synchrotron Zernike phase-contrast transmission X-ray microscopes, the ANATOMIX beamline at SOLEIL (Paris, France) and the P05 beamline at PETRA III (Hamburg, Germany). The Sensor3D CNN model with a smaller batch size of 32 and a training data size of 70 images showed the best performance (accuracy 0.983 and error loss 0.032). The analysis procedures, validated by comparison with human-identified ground-truth images, correctly identified the voids within the bone matrix. This proposed approach may have further application to classify structures in volumetric images that contain non-linear artifacts that degrade image quality and hinder feature identification.

When solving a structure of a protein from single-wavelength anomalous diffraction X-ray data, the initial phases obtained by phasing from an anomalously scattering substructure usually need to be improved by an iterated electron-density modification. In this manuscript, the use of convolutional neural networks (CNNs) for segmentation of the initial experimental phasing electron-density maps is proposed. The results reported demonstrate that a CNN with U-net architecture, trained on several thousands of electron-density maps generated mainly using X-ray data from the Protein Data Bank in a supervised learning, can improve current density-modification methods.

Through numerical optimization of cooling lengths and cooling groove positions for the first reflection mirror of a free-electron laser [OK?], the root mean square of the height error of the mirror's thermal deformation was minimized. The optimized mirror design effectively mitigated stray light and enhanced the peak intensity of the focus spot at the sample, thereby enhancing the optical performance of the high-heat-load mirror under high repetition rates at beamline FEL-II of the SHINE facility.

Developing semiconductor devices requires a fast and reliable source of strain information with high spatial resolution and strain sensitivity. This work investigates the strain in an axially heterostructured 180 nm-diameter GaInP nanowire with InP segments of varying lengths down to 9 nm, simultaneously probing both materials. Scanning X-ray diffraction (XRD) is compared with Bragg projection ptychography (BPP), a fast single-projection method. BPP offers a sufficient spatial resolution to reveal fine details within the largest segments, unlike scanning XRD. The spatial resolution affects the quantitative accuracy of the strain maps, where BPP shows much-improved agreement with an elastic 3D finite element model compared with scanning XRD. The sensitivity of BPP to small deviations from the Bragg condition is systematically investigated. The experimental confirmation of the model suggests that the large lattice mismatch of 1.52% is accommodated without defects.

A leader from the company discussed automated tech and ongoing labor challenges.

Two of the producer’s Wings flavors, Buffalo and Korean BBQ, will be offered at more than 100 of the stores across the U.S.

State of the Industry analysis of the fresh bread category, including sandwich and loaf bread products, bagels, and English muffins.

Driven by opportunity and a belief that strong community, family and friends are paramount to leading a purposeful life, Golden Eagle Vodka’s Co-Founder and CEO Dakota Blaze Rader shares how the brand aims to reinvigorate the premium vodka segment by blending American heritage with modern luxury.

New 400+ page report with state of the market in 2020, 2021 and 10-year forecast offers exclusive insights into the core polymer AM market

A true testament to innovation of measuring tools

This recognition highlights Wegman's significant contributions to the legal field, outstanding client advocacy, and exceptional personal injury litigation success.

Any kind of marketing approach that gives you a deeper insight into your customers has the potential to help you make stronger connections with them. Psychographic segmentation is a perfect example. Unlike demographic or behavioral segmentation, it goes into depth about what makes your customers tick, which means you can better understand how to reach...

The post What Is Psychographic Segmentation and How Can It Boost Engagement? appeared first on noupe.

Satish Mohan, CTO of AirGapNetworks discussed "Air Gapped Networks" with host Priyanka Raghavan.

Jackson assumes this role after rising through a series of positions with increasing responsibility within Novolex and, before joining the company, broad experience in general operations and consulting. 

In interview with the CEO of the robotic packaging machinery manufacturer, a big focus is the state of the economy and the availability of qualified workers.

In this story, we take a look at some of most recent announcements regarding the creation and adoption of new snack packaging materials.

La segunda ola del Estudio General de Medios (EGM) se salda con dos grandes victorias: Onda Cero, que crece en 86.000 oyentes diarios, junto a Carlos Alsina, que bate un nuevo récord. En el otro lado, la Cadena Ser y RNE, las dos únicas radios que pierden oyentes Leer