Eoin Lynch, 29, from Castlederg, was pronounced dead at the scene of the crash on Orchard Road.

Lihan TONG,Weijia LI,Qingxia YANG,Liyuan CHEN,Peng CHEN, Vol.E107-D, No.11, pp.1472-1475
We present Ksformer, utilizing Multi-scale Key-select Routing Attention (MKRA) for intelligent selection of key areas through multi-channel, multi-scale windows with a top-k operator, and Lightweight Frequency Processing Module (LFPM) to enhance high-frequency features, outperforming other dehazing methods in tests.
Publication Date: 2024/11/01

THIS Hari Raya, The Gardens Mall is bringing the comfort of home and the memories of celebrations with loved ones to its mall decor. With many unable to travel back to their kampung to visit grandparents and other loved ones, the Mall decided to bring elements of grandma’s eclectic home to the mall for all to enjoy this year.

Step into the mall and be greeted by a burst of colour and patterns with traditional woven pandanus ware and hand-sewn patchwork fabric. Snap photos with friends and family at the various vignettes set-up along the Ground Floor. Much like atok’s garden, there is much greenery around
to coax nostalgia for the simple kampung life.

Not forgetting the underprivileged this season, over at the South Palm on the Ground Floor, The Gardens Mall is collecting your unwanted denim to donate to the single mothers of SURI. SURI is a social enterprise that employs single mothers from low-income communities to turn unwanted denim material into fashionable apparel and other household items. SURI also believes in protecting the environment through upcycling.

As part of the partnership during Hari Raya, The Gardens Mall has pledged RM10,000 to SURI for its efforts in helping these single mothers gain financial independence.

Designed By: Elaine, Jewelry Designer, Exclusively for Fire Mountain Gems and Beads

Designed By: Elaine, Jewelry Designer, Exclusively for Fire Mountain Gems and Beads

Designed By: Patti, Jewelry Designer, Exclusively for Fire Mountain Gems and Beads®

Designed By: Patti, Jewelry Designer, Exclusively for Fire Mountain Gems and Beads®

Designed By: Patti, Jewelry Designer, Exclusively for Fire Mountain Gems and Beads®

Designed By: Patti, Jewelry Designer, Exclusively for Fire Mountain Gems and Beads®

TomTom Reaches Mapping Milestone: 1.5 Billion Updates in a Single Month

Former Duke star Kyle Singler's cryptic Instagram post saying he fears for his life has drawn an outpouring of concern and support from former teammates and others.

There's value in using specialized gypsum panels for a home. But the benefits don’t stop there.

Megaman Absorbent-Lined Single-Use Gloves have an absorbent inner layer that controls perspiration, promotes skin health and features a durable multilayer construction for increased barrier protection.

The Powerform S8+ Single-Use Glove features the patent-pending TracTek high-density grip pattern for 200 percent more tactile grip on wet and oily surfaces, and the highest standards in user protection and durability.

The Dräger Pac Series is composed of fast, accurate and easy-to-use personal single-gas detectors.

The BW Clip Maintenance-Free Single-Gas Detector is a reliable and cost-effective way to keep workers safe and operations compliant.

The Honeywell BW Solo is an easy-to-service single-gas detector with BLE connectivity that provides real-time visibility into the status and safety of workers in hazardous areas, helping organizations respond faster to safety incidents.

My workers need barrier protection. Are single-use gloves tough enough?

Single Man Baskets have the ability to attach to any knuckle boom truck that meets ASME standard B30.23. Thanks to specialized adapters, the baskets install easily and quickly to extend the capabilities of knuckle boom trucks.

The Tango TX1 single-gas monitor features a three-year run time and DualSense Technology that increases worker safety – regardless of bump-test frequency – while reducing overall maintenance costs.

Kraft Singles is taking a step forward with the launch of three new flavors for the first time in nearly a decade: Jalapeño, Garlic & Herb, and Caramelized Onion.

KRAFT® Singles, joined forces with Top Chef finalist and dumpling extraordinaire, Shirley Chung, to develop a Chinese American fusion: KRAFT Singles’ Souplings.

The innovative packaging allows rice and noodles to cook separately from the protein, sauce and vegetables, ensuring each meal maintains authentic taste and texture and provides consumers a takeout-style experience with the ease of the microwave.

The popular White Cheddar Mac & Cheese is now available in a new size that offers five different preparation methods to suit kitchens of any size, including boil-in-bag, microwave, pizza oven/impinger, rapid-cook oven, and steamer. 

Many of these flavor combinations have never been seen before in the cultured dairy category. In addition to being lactose-free, the new Flavor Fusions line is loaded with high-quality bioavailable nutrients, like protein, calcium, and 12 live and active probiotic cultures.

With the Federal Reserve beginning an easing of monetary policy and builder sentiment improving, single-family starts posted a modest gain in September while multifamily construction continued to weaken because of tight financing and an ongoing rise in completed apartments.

Vietnamese flooring manufacturer Lioncore Industries has licensed i4F's new HerringB/ONE technology, a simplified herringbone flooring system that eliminates the need for mirrored panels. The deal expands Lioncore's existing partnership with i4F and will streamline production while making installation more DIY-friendly.

SolidTech R is engineered with a unique stone recycled core, replacing all PVC with 100% recycled single-use plastic. Each square foot of SolidTech R contains the equivalent of 20 recycled water bottles. Additionally, every purchase of SolidTech R goes toward stopping ocean plastic in collaboration with Plastic Bank.

Developed by PurPod, the pods have replaced all of New England Coffee’s former single-serve plastic pods to deliver a richer aroma and fresher coffee flavor with materials that are friendlier to the environment, reducing plastic waste. 

Single-family and multifamily housing production accelerated in November, due to strong demand for new construction.

Volume 33, Issue 1, February 2024. Read the full article ›

The post A history of survival: preserving and working with an archive of single parent activism was curated by information for practice.

[Culture] :
BLACKPINK member Rosé's latest collab with American pop star Bruno Mars, "APT.," has reached number two on the United Kingdom's Official Singles Chart, the highest ranking on the chart by a female K-pop artist. After debuting at number four on October 25, "APT." jumped two spots to number two in the ...

[more...]

Stray Kids is set to release a new digital single featuring global pop star Charlie Puth.The new single “Lose My Breath” will drop on May 10. Charlie Puth is a familiar name in the K-pop industry and...

[more...]

Jinjin of Astro has dropped a single in remembrance of bandmate Moonbin who passed away one year ago.The digital single “Fly”, which features Moonbin’s voice, was co-written by the two members of...

[more...]

Sunmi is set to drop a new single in June. The new single has been written by the singer herself, and she recently finished shooting the music video in Croatia.The upcoming single comes around eight months after...

[more...]

Jennie, a member of K-pop girl group Blackpink, will be releasing a new single this week. Titled, “Mantra,” the new release will drop Oct. 11. The highly anticipated comeback comes...

[more...]

A crystal structure with N atoms in its unit cell can be solved starting from a model with atoms 1 to j − 1 being located. To locate the next atom j, the method uses a modified definition of the traditional R1 factor where its dependencies on the locations of atoms j + 1 to N are removed. This modified R1 is called the single-atom R1 (sR1), because the locations of atoms 1 to j − 1 in sR1 are the known parameters, and only the location of atom j is unknown. Finding the correct position of atom j translates thus into the optimization of the sR1 function, with respect to its fractional coordinates, xj, yj, zj. Using experimental data, it has been verified that an sR1 has a hole near each missing atom. Further, it has been verified that an algorithm based on sR1, hereby called the sR1 method, can solve crystal structures (with up to 156 non-hydrogen atoms in the unit cell). The strategy to carry out this calculation has also been optimized. The main feature of the sR1 method is that, starting from a single arbitrarily positioned atom, the structure is gradually revealed. With the user's help to delete poorly determined parts of the structure, the sR1 method can build the model to a high final quality. Thus, sR1 is a viable and useful tool for solving crystal structures.

Transition-metal nitro­gen-doped carbons (TM-N-C) are emerging as a highly promising catalyst class for several important electrocatalytic processes, including the electrocatalytic CO2 reduction reaction (CO2RR). The unique local environment around the singly dispersed metal site in TM-N-C catalysts is likely to be responsible for their catalytic properties, which differ significantly from those of bulk or nanostructured catalysts. However, the identification of the actual working structure of the main active units in TM-N-C remains a challenging task due to the fluctional, dynamic nature of these catalysts, and scarcity of experimental techniques that could probe the structure of these materials under realistic working conditions. This issue is addressed in this work and the local atomistic and electronic structure of the metal site in a Co–N–C catalyst for CO2RR is investigated by employing time-resolved operando X-ray absorption spectroscopy (XAS) combined with advanced data analysis techniques. This multi-step approach, based on principal component analysis, spectral decomposition and supervised machine learning methods, allows the contributions of several co-existing species in the working Co–N–C catalysts to be decoupled, and their XAS spectra deciphered, paving the way for understanding the CO2RR mechanisms in the Co–N–C catalysts, and further optimization of this class of electrocatalytic systems.

The damage threshold of an Au-coated flat mirror, one of the reflective optics installed on the FEL-2 beamline of the Dalian Coherent Light Source, China, upon far-UV free-electron laser irradiation is evaluated. The surface of the coating is characterized by profilometer and optical microscope. A theoretical approach of the phenomenon is also presented, by application of conventional single-pulse damage threshold calculations, a one-dimensional thermal diffusion model, as well as finite-element analysis with ANSYS.

Xray free-electron lasers (XFELs) enable experiments that would have been impractical or impossible at conventional X-ray laser facilities. Indeed, more XFEL facilities are being built and planned, with their aim to deliver larger pulse energies and higher peak brilliance. While seeking to increase the pulse power, it is quintessential to consider the maximum pulse fluence that a grazing-incidence FEL mirror can withstand. To address this issue, several studies were conducted on grazing-incidence damage by soft X-ray FEL pulses at the European XFEL facility. Boron carbide (B4C) coatings on polished silicon substrate were investigated using 1 keV photon energy, similar to the X-ray mirrors currently installed at the soft X-ray beamlines (SASE3). The purpose of this study is to compare the damage threshold of B4C and Si to determine the advantages, tolerance and limits of using B4C coatings.

The extraction and purification procedures, crystallization and crystal structure refinement (single-crystal X-ray data) of germacrone type II, C15H22O, are presented. The structural results are compared with a previous powder X-ray synchrotron study [Kaduk et al. (2022). Powder Diffr. 37, 98–104], revealing significant improvements in terms of accuracy and precision. Hirshfeld atom refinement (HAR), as well as Hirshfeld surface analysis, give insight into the inter­molecular inter­actions of germacrone type II.

Phenuiviridae nucleoprotein is the main structural and functional component of the viral cycle, protecting the viral RNA and mediating the essential replication/transcription processes. The nucleoprotein (N) binds the RNA using its globular core and polymerizes through the N-terminus, which is presented as a highly flexible arm, as demonstrated in this article. The nucleoprotein exists in an `open' or a `closed' conformation. In the case of the closed conformation the flexible N-terminal arm folds over the RNA-binding cleft, preventing RNA adsorption. In the open conformation the arm is extended in such a way that both RNA adsorption and N polymerization are possible. In this article, single-crystal X-ray diffraction and small-angle X-ray scattering were used to study the N protein of Toscana virus complexed with a single-chain camelid antibody (VHH) and it is shown that in the presence of the antibody the nucleoprotein is unable to achieve a functional assembly to form a ribonucleoprotein complex.

Single-particle imaging using X-ray free-electron lasers (XFELs) is a promising technique for observing nanoscale biological samples under near-physiological conditions. However, as the sample's orientation in each diffraction pattern is unknown, advanced algorithms are required to reconstruct the 3D diffraction intensity volume and subsequently the sample's density model. While most approaches perform 3D reconstruction via determining the orientation of each diffraction pattern, a correlation-based approach utilizes the averaged spatial correlations of diffraction intensities over all patterns, making it well suited for processing experimental data with a poor signal-to-noise ratio of individual patterns. Here, a method is proposed to determine the 3D structure of a sample by analyzing the double, triple and quadruple spatial correlations in diffraction patterns. This ab initio method can reconstruct the basic shape of an irregular unsymmetric 3D sample without requiring any prior knowledge of the sample. The impact of background and noise on correlations is investigated and corrected to ensure the success of reconstruction under simulated experimental conditions. Additionally, the feasibility of using the correlation-based approach to process incomplete partial diffraction patterns is demonstrated. The proposed method is a variable addition to existing algorithms for 3D reconstruction and will further promote the development and adoption of XFEL single-particle imaging techniques.

Our study compares short-range order parameters refined from the diffuse scattering in single-crystal X-ray and single-crystal electron diffraction data. Nb0.84CoSb was chosen as a reference material. The correlations between neighbouring vacancies and the displacements of Sb and Co atoms were refined from the diffuse scattering using a Monte Carlo refinement in DISCUS. The difference between the Sb and Co displacements refined from the diffuse scattering and the Sb and Co displacements refined from the Bragg reflections in single-crystal X-ray diffraction data is 0.012 (7) Å for the refinement on diffuse scattering in single-crystal X-ray diffraction data and 0.03 (2) Å for the refinement on the diffuse scattering in single-crystal electron diffraction data. As electron diffraction requires much smaller crystals than X-ray diffraction, this opens up the possibility of refining short-range order parameters in many technologically relevant materials for which no crystals large enough for single-crystal X-ray diffraction are available.

This paper uses deep learning to present a proof-of-concept for data-driven chemistry in single-molecule magnets (SMMs). Previous discussions within SMM research have proposed links between molecular structures (crystal structures) and single-molecule magnetic properties; however, these have only interpreted the results. Therefore, this study introduces a data-driven approach to predict the properties of SMM structures using deep learning. The deep-learning model learns the structural features of the SMM molecules by extracting the single-molecule magnetic properties from the 3D coordinates presented in this paper. The model accurately determined whether a molecule was a single-molecule magnet, with an accuracy rate of approximately 70% in predicting the SMM properties. The deep-learning model found SMMs from 20 000 metal complexes extracted from the Cambridge Structural Database. Using deep-learning models for predicting SMM properties and guiding the design of novel molecules is promising.

Ultra-intense, ultra-fast X-ray free-electron lasers (XFELs) enable the imaging of single protein molecules under ambient temperature and pressure. A crucial aspect of structure reconstruction involves determining the relative orientations of each diffraction pattern and recovering the missing phase information. In this paper, we introduce a predicted model-aided algorithm for orientation determination and phase retrieval, which has been tested on various simulated datasets and has shown significant improvements in the success rate, accuracy and efficiency of XFEL data reconstruction.

The success of experimental phasing in macromolecular crystallography relies primarily on the accurate locations of heavy atoms bound to the target crystal. To improve the process of substructure determination, a modified phase-retrieval algorithm built on the framework of the relaxed alternating averaged reflection (RAAR) algorithm has been developed. Importantly, the proposed algorithm features a combination of the π-half phase perturbation for weak reflections and enforces the direct-method-based tangent formula for strong reflections in reciprocal space. The proposed algorithm is extensively demonstrated on a total of 100 single-wavelength anomalous diffraction (SAD) experimental datasets, comprising both protein and nucleic acid structures of different qualities. Compared with the standard RAAR algorithm, the modified phase-retrieval algorithm exhibits significantly improved effectiveness and accuracy in SAD substructure determination, highlighting the importance of additional constraints for algorithmic performance. Furthermore, the proposed algorithm can be performed without human intervention under most conditions owing to the self-adaptive property of the input parameters, thus making it convenient to be integrated into the structural determination pipeline. In conjunction with the IPCAS software suite, we demonstrated experimentally that automatic de novo structure determination is possible on the basis of our proposed algorithm.