bluuebunny/crossref_metadata_2025 huggingface dataset:
A Capsicum annuum L. seed extract exerts anti-neuroexcitotoxicity in HT22 hippocampal neurons
Authors: Kang Ji-Yun , Gu Ji-Yeon , Baek Dong-Cheol , Son Chang-Gue , Lee Jin-Seok
Published: February 2024

The hippocampal memory deficit stands out as a primary symptom in neurodegenerative diseases, including Alzheimer's disease.
Ice crystal guided folding of graphene oxides in a confined space: a facile approach to 1D functional graphene structures
Authors: Wan Wubo , Zhao Zongbin , Liu Shaohong , Hao Xiaojuan , Hughes Timothy C. , Qiu Jieshan
Published: February 2024

An ice crystal guided folding strategy to fabricate 1D folded graphene nanobelts (FGBs) was developed, where the formation of ice crystals in a confined space result in the folding of 2D graphene oxide nanosheets into 1D nanobelts.
Localized charge-induced ORR/OER activity in doped fullerenes for Li–air battery applications
Authors: Bharadwaj Nishchal , Pathak Biswarup
Published: February 2024

The utility of B/N-doped and BN co-doped fullerenes as cathode materials with reduced overpotentials for Li–air batteries.
Experimental and computational investigation of the α-amylase catalyzed Friedel–Crafts reaction of isatin to access symmetrical and unsymmetrical 3,3′,3′′-trisindoles
Authors: Kamboj Priya , Mohapatra Abinash , Mandal Debasish , Tyagi Vikas
Published: February 2024

A highly selective and sustainable approach using α-amylase enzyme to synthesize biologically important symmetrical as well as unsymmetrical 3,3′,3′′-trisindoles has been reported.
Large-area arrays of epitaxially aligned silver nanotriangles seeded by gold nanostructures
Authors: Lawson Zachary R. , Xu Kaikui , Boukouvala Christina , Hughes Robert A. , Rosenberger Matthew R. , Ringe Emilie , Neretina Svetlana
Published: February 2024

The work represents a first-of-its-kind demonstration in that flat-lying Ag nanotriangles have never before been grown directly on substrate surfaces in organized patterns.
Efficient separation of xylene isomers by nonporous adaptive crystals of hybrid[3]arene in both vapor and liquid phases
Authors: Wang Yuhao , Wang Zhenyu , Wei Shiqi , Wu Sha , Wang Mengbin , Yu Guocan , Chen Peng , Liu Xiaowei , Zhou Jiong
Published: February 2024

An efficient strategy for separation of xylene isomers in both vapor and liquid phases based on nonporous adaptive crystals of hybrid[3]arene is developed, showing good performance and high recyclability for separation of o-xylene, providing a new method for separation of xylene isomers.
The role of pH-induced tautomerism of polyvinylpyrrolidone on the size, stability, and antioxidant and antibacterial activities of silver nanoparticles synthesized using microwave radiation
Authors: Ismillayli Nurul , Suprapto Suprapto , Santoso Eko , Nugraha Reva Edra , Holilah Holilah , Bahruji Hasliza , Jalil Aishah Abdul , Hermanto Dhony , Prasetyoko Didik
Published: February 2024

Tautomerism alters the structure and properties of materials, which can be exploited to control their chemical and biological activities.
Effect of copper doping on the photocatalytic performance of Ni2O3@PC membrane composites in norfloxacin degradation
Authors: Mashentseva Anastassiya A. , Nurpeisova Dinara T. , Barsbay Murat
Published: February 2024

Cu@PC, Ni2O3@PC as well as Cu/Ni2O3@PC mixed composite track-etched membranes were synthesized using an electroless deposition technique and demonstrated enhanced photocatalytic degradation capacity for norfloxacin.
Influence of annealing pretreatment in different atmospheres on crystallization quality and UV photosensitivity of gallium oxide films
Authors: Chen Wen-Jie , Ma Hong-Ping , Gu Lin , Shen Yi , Yang Ruo-Yun , Cao Xi-Yuan , Yang Mingyang , Zhang Qing-Chun
Published: February 2024

Due to their high wavelength selectivity and strong anti-interference capability, solar-blind UV photodetectors hold broad and important application prospects in fields like flame detection, missile warnings, and secure communication.
Integration of a Cu2O/ZnO heterojunction and Ag@SiO2 into a photoanode for enhanced solar water oxidation
Authors: Zeng Xuyang , Gao Qianyu , Song Peilin , Zhang Xinru , Xie Jiaying , Dong Qingwen , Qi Junjie , Xing Xiu-Shuang , Du Jimin
Published: February 2024

A ZnO photoanode, modified with a Cu2O/ZnO p–n heterojunction and the plasmonic effect of Ag@SiO2, exhibits an 88% enhancement of photocurrent density due to the improved photogenerated carrier separation and transfer.
Exploring protein–ligand binding affinity prediction with electron density-based geometric deep learning
Authors: Isert Clemens , Atz Kenneth , Riniker Sereina , Schneider Gisbert
Published: February 2024

A deep learning approach centered on electron density is suggested for predicting the binding affility between proteins and ligands. The approach is thoroughly assessed using various pertinent benchmarks.
Influence of H-bond competitors on the solvent-dependent structures of an octaurea-calix[4]tube
Authors: Milone Marco , Pisagatti Ilenia , Gattuso Giuseppe , Notti Anna , Parisi Melchiorre F. , Brancatelli Giovanna , Hickey Neal , Geremia Silvano
Published: February 2024

The solvent-dependent conformational features of an octatolylurea-calix[4]tube were investigated in solution and in the solid state.
Design of N–N ylide bond-based high energy density materials: a theoretical survey
Authors: Xin Jingfan , Bo Xiaoxu , Xiao Wenmin , Ding Yihong , Jin Ruifa , Yang Suhua
Published: February 2024

Our work, for the first time, describes the possibility of designing structures with a fourth type of homonuclear N–N bond (besides >NN<, –NN–, and NN) to serve as energetic materials.
Effects of simulated acid rain on hydrochemical factors and microbial community structure in red soil aquifers
Authors: Wang Yian , Long Chao , Yin Li , Liu Renlu , Liao Yonghui , He Genhe , Liu Zuwen
Published: February 2024

Acid rain can lower the pH of groundwater and affect its hydrogeochemistry and microbial ecology.
Controllable π–π coupling of intramolecular dimer models in aggregated states
Authors: Liao Qiuyan , Li Aisen , Huang Arui , Wang Jiaqiang , Chang Kai , Li Hehua , Yao Pengfei , Zhong Cheng , Xie Peidong , Wang Jinfeng , Li Zhen , Li Qianqian
Published: February 2024

In situ regulation of π–π coupling was realized with the combination of rigid intramolecular dimer models and external stimuli, mainly due to the balance of π–π and solvent–π interactions. The results establish the quantitative relationship between emission properties and π–π distances.
Pyrazinacene conjugated polymers: a breakthrough in synthesis and unraveling the conjugation continuum
Authors: Hameed Fatima , Maity Arindam , Francis Victor S. , Gavvalapalli Nagarjuna
Published: February 2024

Overcoming synthetic challenges, we present the synthesis of previously undiscovered and highly coveted conjugated pyrazinacene polymers. The LUMO energy levels in these polymers rival those of some of the best-known n-type polymers.
In-depth theoretical analysis of the influence of an external electric field on charge transport parameters
Authors: Qin Gui-Ya , Sun Xiao-Qi , Wang Rui , Guo Jing-Fu , Fan Jian-Xun , Li Hui , Zou Lu-Yi , Ren Ai-Min
Published: February 2024

An external electric field (EEF) exerts a great influence on geometry and electronic structure of organic semiconductors. The change in non-bonding properties of C-atoms in HOMO/LUMO under an EEF is related to the change in reorganization energy.
Inflachromene ameliorates Parkinson's disease by targeting Nrf2-binding Keap1
Authors: Yim Junhyeong , Hwang Yoon Soo , Lee Jae-Jin , Kim Ju Hee , Baek Jeong Yeob , Jeong Jaeyeong , Choi Young Il , Jin Byung Kwan , Park Seung Bum
Published: February 2024

Target identification using fluorescence difference in two-dimensional gel electrophoresis (FITGE) revealed the molecular mechanism of ICM that ameliorates PD by targeting a specific form of Keap1.
Modulation of charge-transfer behavior via adaptive interface treatment for efficient photoelectrochemical water splitting
Authors: Quan Jingjing , Wang Jing , Hai Kunlin , Ning Xingming , Chen Xinbing
Published: February 2024

We report a “one stone, three birds” strategy for efficiently suppressing the electron–hole recombination occurring at the SC/TMH interface. After acid treatment, optimized BV-HA/FeNi(OH)X photoanodes showed enhanced photocurrent density and excellent photostability.
Dual-monomer solvatochromic probe system (DSPS) for effectively differentiating lipid raft cholesterol and active membrane cholesterol in the inner-leaflet plasma membrane
Authors: Luo Xuan , Zhao Yunfei , Cai Yang , Chen Jun , Zhao Lulu , Lan Tianlan , Chen Yaxi , Ruan Xiong Z.
Published: February 2024

A novel, selective, practical cholesterol sensing system based on a fusion protein and a solvatochromic molecule was developed to distinguish cholesterol exposed in different phases of the plasma membrane.
Carbonyl functionalization strategy to overcome easy agglomeration in porphyrin
Authors: Li Mingli , Qiang Taotao
Published: February 2024

Porphyrin occupies an extremely important position in the field of photocatalysis owing to its excellent photocatalytic performance.
Correction: Lactobacillus fermentum F40-4 ameliorates hyperuricemia by modulating the gut microbiota and alleviating inflammation in mice
Authors: Cao Jiayuan , Wang Ting , Liu Yisuo , Zhou Wei , Hao Haining , Liu Qiqi , Yin Boxing , Yi Huaxi
Published: February 2024

Correction for ‘Lactobacillus fermentum F40-4 ameliorates hyperuricemia by modulating the gut microbiota and alleviating inflammation in mice’ by Jiayuan Cao et al., Food Funct., 2023, 14, 3259–3268, https://doi.org/10.1039/D2FO03701G.
Lewis acid-catalyzed one-pot thioalkenylation of donor–acceptor cyclopropanes using in situ generated dithiocarbamates and propiolates
Authors: Harikumar Sanjeevni , Kandy Labeeb Thazhe Kollorth , Guin Avishek , Biju Akkattu T.
Published: February 2024

One-pot, four component thioalkenylation of donor–acceptor (D–A) cyclopropanes using in situ generated dithiocarbamates and propiolates catalyzed by Yb(OTf)3 is presented.
Dual-rotor strategy for organic cocrystals with enhanced near-infrared photothermal conversion
Authors: Wen Xinyi , Shao Yixin , Chen Ye-Tao , He Jiaxing , Chen Shun-Li , Dang Li , Li Ming-De
Published: February 2024

A single-/double-bond dual-rotor strategy is proposed to construct D–A cocrystals with enhanced NIR photothermal conversion, which can be attributed to the nonradiative decays of excited states induced by the free rotation of dual-rotors.
Morphine’s journey through the body: mechanisms behind opioid pain relief
Authors: Sidhu Kira
Published: February 2024

The Biochemical Society identifies and celebrates outstanding science communication talent in molecular biosciences with its annual Science Communication Prize. Kira Sidhu, from Spain, won the third prize in the written category for students studying for A-level/T-level/BTEC National/Scottish Highers or equivalent qualifications. Kira’s piece is titled ‘Morphine’s journey through the body: mechanisms behind opioid pain relief’.
Unlocking the future of medicine: CRISPR-Cas9 gene editing holds the key to transformation
Authors: Kizilkaya Cansu
Published: February 2024

The Biochemical Society identifies and celebrates outstanding science communication talent in molecular biosciences with its annual Science Communication Prize. Cansu Kizilkaya, from Turkey, won the second prize in the written category for students studying for A-level/T-level/BTEC National/Scottish Highers or equivalent qualifications. Cansu’s piece is titled ‘Unlocking the Future of Medicine: CRISPR-Cas9 Gene Editing Holds the Key to Transformation’.
Filling in the Blank: The Development of a Writing Screener for Elementary School Students Who Speak African American English
Authors: Byrd Arynn S. , Oppenheimer Kathleen , Silverman Rebecca , Edwards Jan
Published: February 2024

Purpose:

Clinicians are tasked with using culturally and linguistically appropriate tools to evaluate oral and written language development accurately. However, limited tools account for linguistic diversity in writing. This gap can lead to under- and overdiagnosis of students who speak nonmainstream dialects. This study addressed that gap by developing a writing task to identify nonmainstream dialect features in the writing of early elementary school students. We describe the development, feasibility, and results of pilot testing of the task.

Method:

One hundred fifty-one first and second graders participated in the study as part of a larger study of nonmainstream dialect use. Students completed standardized literacy and language assessments and the researcher-developed writing task. The writing task used a novel fill-in-the-blank format to identify morphological features that vary between Mainstream American English and nonmainstream varieties such as African American English.

Results:

Second-grade students performed better on the writing task than first graders, and writing performance was strongly related to standardized literacy scores. Literacy skills were the strongest predictor of Mainstream American English use in writing, but spoken dialect use also correlated with written dialect use.

Conclusions:

The writing task captured dialect use in early elementary school students' writing, and students' performance on standardized literacy measures predicted written dialect features. These results are a first step toward developing a standardized measure to help professionals appropriately diagnose written expression disorders within linguistically diverse students.

Supplemental Material:

https://doi.org/10.23641/asha.25079891
Proactive Strategies for Breaking Barriers: Advancing Justice Initiatives in Speech-Language Pathology for Diverse Populations in Voice Management and Upper Airway Disorders
Authors: Moonsammy Sean U. , Procter Teresa , Goodwin Maurice E. , Crumpton Phoebe
Published: February 2024

Purpose:

This clinical focus article examines the importance of justice, equity, diversity, and inclusion (JEDI) initiatives in the field of speech-language pathology, particularly in the context of voice management and upper airway disorders.

Method:

We begin by acknowledging the growing focus on JEDI-related strategies, such as supporting students from diverse cultural backgrounds, measuring clinician competence in working with diverse clients, and increasing awareness of cultural and linguistic diversity in patient populations. We emphasize the need for both individual and systemic efforts to develop competence in JEDI initiatives. However, challenges exist in developing culturally responsive materials and documentation at a macro level, including the lack of research and resources in understanding the needs of diverse patient populations in voice and upper airway disorders. The clinical focus article highlights the absence of demographic data related to cultural and linguistic diversity in this field and discusses the challenges in developing language-specific materials, culturally relevant assessment tools, and therapeutic interventions aligned with cultural values and standards. Limited funding and resources further impede progress in JEDI initiatives and the development of tailored intervention models. Recognizing the impossibility of accounting for every unique intersectionality, the clinical focus article offers foundational steps toward creating an inclusive space and providing culturally responsive health care. It specifically focuses on gender-inclusive care, diagnostic considerations for socially linguistically diverse individuals, and addressing issues of clinical ableism.

Conclusion:

The clinical focus article aims to identify and expand upon current resources for culturally responsive practice in the American Speech-Language-Hearing Association, particularly in the context of voice and upper airway disorders.
Hyperspectral image super resolution using deep internal and self‐supervised learning
Authors: Liu Zhe , Han Xian‐Hua
Published: February 2024

By automatically learning the priors embedded in images with powerful modelling capabilities, deep learning‐based algorithms have recently made considerable progress in reconstructing the high‐resolution hyperspectral (HR‐HS) image. With previously collected large‐amount of external data, these methods are intuitively realised under the full supervision of the ground‐truth data. Thus, the database construction in merging the low‐resolution (LR) HS (LR‐HS) and HR multispectral (MS) or RGB image research paradigm, commonly named as HSI SR, requires collecting corresponding training triplets: HR‐MS (RGB), LR‐HS and HR‐HS image simultaneously, and often faces difficulties in reality. The learned models with the training datasets collected simultaneously under controlled conditions may significantly degrade the HSI super‐resolved performance to the real images captured under diverse environments. To handle the above‐mentioned limitations, the authors propose to leverage the deep internal and self‐supervised learning to solve the HSI SR problem. The authors advocate that it is possible to train a specific CNN model at test time, called as deep internal learning (DIL), by on‐line preparing the training triplet samples from the observed LR‐HS/HR‐MS (or RGB) images and the down‐sampled LR‐HS version. However, the number of the training triplets extracted solely from the transformed data of the observation itself is extremely few particularly for the HSI SR tasks with large spatial upscale factors, which would result in limited reconstruction performance. To solve this problem, the authors further exploit deep self‐supervised learning (DSL) by considering the observations as the unlabelled training samples. Specifically, the degradation modules inside the network were elaborated to realise the spatial and spectral down‐sampling procedures for transforming the generated HR‐HS estimation to the high‐resolution RGB/LR‐HS approximation, and then the reconstruction errors of the observations were formulated for measuring the network modelling performance. By consolidating the DIL and DSL into a unified deep framework, the authors construct a more robust HSI SR method without any prior training and have great potential of flexible adaptation to different settings per observation. To verify the effectiveness of the proposed approach, extensive experiments have been conducted on two benchmark HS datasets, including the CAVE and Harvard datasets, and demonstrate the great performance gain of the proposed method over the state‐of‐the‐art methods.
Super‐resolution reconstruction based on generative adversarial networks with dual branch half instance normalization
Authors: Guo Xiaoxin , Tu Zhenchuan , Zhang Haoran , Dong Hongliang
Published: February 2024

This paper proposes a super‐resolution reconstruction model, SRPGANto improve the visual quality of images based on generative adversarial networks (GANs) by improving the network structures of the generator and the discriminator. In the generator, a dual branch residual block is designed instead of the residual block, including a branch with an attention mechanism and a branch without an attention mechanism, to extract more differentiated features. Normalization methods are explored to avoid unstable training and bath normalization artifacts and use a half instance normalization layer that is more suitable for underlying visual problems compared with traditional batch normalization. In the discriminator, PatchGAN is applied instead of typical GAN to improve the generation of local texture by discriminating each patch rather than the global image. The experimental results on the public datasets demonstrate that the proposed SRPGAN can achieve excellent quantitative evaluation while improving the visual quality of reconstructed images.
Voltage regulation in low voltage distribution networks with unbalanced penetrations of photovoltaics and battery storage systems
Authors: Micallef Alexander , Spiteri‐Staines Cyril , Licari John
Published: February 2024

Grid integration constraints are limiting the deployment potential of renewable energy sources in Malta. Large penetrations of photovoltaics in the low voltage (LV) distribution network pose a significant risk to grid stability due to their inherent intermittency and are known to cause overvoltages and reverse power flows. The authors evaluate how self‐consumption strategies with distributed battery energy storage systems can contribute to the voltage regulation in LV networks and the reduction of reverse power flows. The batteries are controlled to absorb the reverse power flow at the dwellings' point of common coupling, before this is injected into the LV network. Simulations show that uncoordinated strategies are not suitable to address the distribution network challenges during reverse power flows and evening peak demands. On the other hand, self‐consumption coordinated by a time‐varying feed‐in tariff (FiT) can provide higher profitability to the prosumers while providing added benefits to the utility. The net‐billing profitability for the prosumers in a self‐consumption scenario with time‐varying FiT is transformed from the downward trend of the uncoordinated scenario to an upward trend against the increasing values of storage capacity.
Supernova environments in J-PLUS
Authors: González-Díaz Raúl , Galbany Lluís , Kangas Tuomas , García-Benito Rubén , Anderson Joseph P. , Lyman Joseph , Varela Jesús , Oltra Lamberto , García Rafael Logroño , Rojo Gonzalo Vilella , López-Sanjuan Carlos , Pérez-Torres Miguel Ángel , Rosales-Ortega Fabián , Mattila Seppo , Kuncarayakti Hanindyo , James Phil , Habergham Stacey , Vílchez José Manuel , Alcaniz Jailson , Angulo Raul E. , Cenarro Javier , Cristóbal-Hornillos David , Dupke Renato , Ederoclite Alessandro , Hernández-Monteagudo Carlos , Marín-Franch Antonio , Moles Mariano , Sodré Laerte , Ramió Héctor Vázquez
Published: February 2024

We investigated the local environmental properties of 418 supernovae (SNe) of all types using data from the Javalambre Photometric Local Universe Survey (J-PLUS), which includes five broad-band and seven narrow-band imaging filters. Our study involves two independent analyses: (1) the normalized cumulative-rank (NCR) method, which utilizes all 12 single bands along with five continuum-subtracted narrow-band emission and absorption bands, and (2) simple stellar population (SSP) synthesis, where we build spectral energy distributions (SED) of the surrounding 1 kpc2 SN environment using the 12 broad- and narrow-band filters. Improvements on previous works include: (i) the extension of the NCR technique to other filters (broad and narrow) and the use a set of homogeneous data (same telescope and instruments); (ii) a correction for extinction to all bands based on the relation between the g − i color and the color excess E(B − V); and (iii) a correction for the contamination of the [N II] λ6583 line that falls within the Hα filter. All NCR distributions in the broad-band filters, tracing the overall light distribution in each galaxy, are similar to each other. The main difference is that type Ia, II, and IIb SNe are preferably located in redder environments than the other SN types. The radial distribution of the SNe shows that type IIb SNe seem to have a preference for occurring in the inner regions of galaxies, whereas other types of SNe occur throughout the galaxies without a distinct preference for a specific location. For the Hα filter we recover the sequence from SNe Ic, which has the highest NCR, to SNe Ia, which has the lowest; this is interpreted as a sequence in progenitor mass and age. All core-collapse SN types are strongly correlated to the [O II] emission, which also traces star formation rate (SFR), following the same sequence as in Hα. The NCR distributions of the Ca II triplet show a clear division between II-IIb-Ia and Ib-Ic-IIn subtypes, which is interpreted as a difference in the environmental metallicity. Regarding the SSP synthesis, we found that including the seven J-PLUS narrow filters in the fitting process has a more significant effect on the core-collapse SN environmental parameters than for SNe Ia, shifting their values toward more extincted, younger, and more star-forming environments, due to the presence of strong emission lines and stellar absorptions in those narrow bands.
Chloride-induced concrete deterioration monitoring using advanced ultrasonic pulse wave analysis based on convolutional neural network
Authors: Mukhti Julfikhsan Ahmad , Kee Seong-Hoon
Published: February 2024

This research explores the potential of deep learning techniques, specifically the convolutional neural network (CNN) architecture, for classifying concrete crack levels based on an acceptable threshold of concrete cracking. The classification model utilizes ultrasonic pulse wave data collected from concrete cube specimens before and after undergoing an accelerated corrosion process. A total of 108 concrete specimens, representing three different mix designs, three corrosion levels, and four concrete cover thicknesses, were utilized in this study. The collected data was employed to train CNN models, specifically leveraging the GoogLeNet and SqueezeNet architectures. Various input sampling rates, input lengths, and hyperparameters were explored to determine the optimal training setup, yielding the best prediction performance. The results demonstrate that the optimized models achieve an 84% accuracy in distinguishing cracks below and above the acceptable threshold. Therefore, it can be concluded that the CNN method holds potential for in-situ sensors aimed at monitoring chloride-induced deterioration in concrete structures.
The application of artificial neural network model to predicting the acid mine drainage from long-term lab scale kinetic test
Authors: Abfertiawan Muhammad Sonny , Kautsar Muchammad Daniyal , Hasan Faiz , Palinggi Yoseph , Pranoto Kris
Published: February 2024

Acid mine drainage (AMD) is one of the common environmental problems in the coal mining industry that was formed by the oxidation of sulfide minerals in the overburden or waste rock. The prediction of acid generation through AMD is important to do in overburden management and planning the post-mining land use. One of the methods used to predict AMD is a lab-scale kinetic test to determine the rate of acid formation over time using representative samples in the field. However, this test requires a long-time procedure and large amount of chemical reagents lead to inefficient cost. On the other hand, there is potential for machine learning to learn the pattern behind the lab-scale kinetic test data. This study describes an approach to use artificial neural network (ANN) modeling to predict the result from lab-scale kinetic tests. Various ANN model is used based on 83 weeks experiments of lab-scale kinetic tests with 100% potential acid-forming rock. The model approaches the monitoring of pH, ORP, conductivity, TDS, sulfate, and heavy metals (Fe and Mn). The overall Nash-Sutcliffe Efficiency (NSE) obtained in this study was 0.99 on training and validation data, indicating a strong correlation and accurate prediction compared to the actual lab-scale kinetic tests data. This show the ANN ability to learn patterns, trends, and seasonality from past data for accurate forecasting, thereby highlighting its significant contribution to solving AMD problems. This research is also expected to establish the foundation for a new approach to predict AMD, with time efficient, accurate, and cost-effectiveness in future applications.
Eutrophication in Lake Batur: Current status and management strategies
Authors: Sunaryani Astried , Santoso Arianto Budi , Soewondo Prayatni , Suharyanto  , Imananda Alifia , Sani Indah Febriana
Published: February 2024

Lake Batur, designated as one of the National Priority Lakes in Indonesia, has experienced significant eutrophication in recent years. Waste generated from various anthropogenic activities, including agriculture, domestic, tourism, and floating net fishery (FNF), have collectively contributed to the decline in water quality and the eutrophication status of the lake. Our study aimed to evaluate the current eutrophication status of Lake Batur by analyzing the spatial and temporal variations in nutrient parameters, water transparency and phytoplankton biomass. Then we assessed strategies in controlling eutrophication in the lake using the Driving forces-Pressure-State-Impact-Response (DPSIR) framework. Currently, Lake Batur has reached mesotrophic to hypereutrophic levels. We identified that the main driving forces behind these concerning conditions were the significant increase of agricultural and FNF activities, particularly since the outbreak of the COVID-19 pandemic. The main environmental pressures showed that agriculture waste was the most dominant nutrient source to the lake (93.05 % of N and 89.96 % of P loads). The state analysis indicated that high nutrient concentrations and subsequent algal growth led to oxygen depletion, resulting in mass mortality of fish, loss of amenity and tourism value, and reduced availability of clean water. Short-term and long-term strategies for effectively managing eutrophication in Lake Batur has been proposed in this study. However, the best scenario will be chosen by considering both eutrophication issue and social implications.
Analysis of water, sanitation, and hygiene (WASH) implementation based on GEDSI and climate resilience in Kupang City
Authors: Sudhiastiningsih Ni Nyoman Sri Natih , Agustina Theresia , Priadi Cindy Rianti
Published: February 2024

This paper provides an overview of WASH implementation, GEDSI, and climate resilience in Kupang City, revealing significant gaps. These gaps include the absence of a monitoring mechanism due to a lack of consensus among local bureaucracies (OPD) concerning community-based total sanitation (STBM) and inadequate budget allocation for monitoring. Additionally, there is a lack of integration between program implementation and existing Urban Sanitation Strategy (SSK) documents, posing an additional challenge to effective STBM execution. Qualitative methodologies, such as key informant interviews and focus group discussions, were employed to engage with key stakeholders, including city government representatives, local leaders, and community youth organizations. The analysis emphasizes Kupang City’s efforts in STBM implementation, persistent deficiencies in sanitation management at the urban village level, and ongoing challenges in raising community awareness about proper sanitation practices. Recurring climate vulnerabilities affecting infrastructure and the local population have led to the development of Regional Action Plans for Climate Change Adaptation and Disaster Risk Reduction (RAD API-PRB). Vulnerability during disasters primarily impacts women and children, underscoring the importance of gender equality within households and across all WASH and climate change activities. The absence of youth involvement highlights the need for comprehensive collaboration among stakeholders. Follow-up recommendations align with the SDG 6 Global Acceleration Framework, focusing on data, financing, governance, innovation, capacity building, community participation, and elements related to GEDSI.
Removal of antibiotic resistant bacteria in wastewater treatment plants
Authors: Ilmi Akna Mumtaz , Adiba Farah , Anisah Kirana , Awaliyah Ananda Rabiatul , Heruputri Nindya Vidiasty , Kasuga Ikuro , Priadi Cindy Rianti , Rahmatika Iftita
Published: February 2024

Antibiotic Resistant Bacteria (ARB) emergence is an increasing threat to public health globally. Wastewater Treatment Plants (WWTPs) play a crucial role in the dissemination of ARB in the environment due to limitations in ARB removal. This study investigated the presence and characteristics of ARB, specifically Extended-Spectrum Beta-Lactamase producing Escherichia coli (ESBL-Ec) and Vancomycin Resistant Enterococci (VRE) , in two WWTPs treating wastewater from hospital and domestic source. The study employed phenotypic and genotypic tests to confirm the presence of ESBL-Ec and VRE, and evaluated their resistance to antibiotics. The results indicated the presence of ESBL-Ec and VRE in both WWTP influent up to (6.0 ± 0.25) x 105 and (1.38 ± 0.25) × 104 CFU/100 mL, respectively, suggesting the potential dissemination of ARB to environment. Although the WWTPs demonstrated relatively high removal efficiencies for ESBL-Ec and VRE up to 4.1 and 5.0 log reduction, respectively, the presence of resistant genes suggested the need for further optimization of treatment processes to mitigate the spread of ARB. The findings highlighted the significance of improved disinfection methods, monitoring antibiotic usage, and implementing robust antimicrobial resistance surveillance systems in WWTPs to minimize the environmental impact associated with ARB dissemination.
Participatory action research method of drinking water supply framework innovation for local indigenous community in Indonesia
Authors: Corsita Lieza , Marganingrum Dyah , Iriyanto Sance M.
Published: February 2024

Lake Sentani in Kameyakha Village, Ebungfau District, Jayapura Regency, Papua Province, Indonesia, is recognized as a primary source for 45 households. Despite the historical significance, both the quality and quantity have not met water standards, underscoring the need for technological innovation. Therefore, this research aimed to evaluate the effectiveness of Participatory Action Research (PAR) method through outreach strategies, as well as program implementation, monitoring, and program assessment carried out by the local indigenous community of Kameyakha Village. Data were gathered using observational methods, interviews, and focus group discussions (FGD). The results showed that PAR could solve the problem faced in Kameyaka Village by enabling collaboration between stakeholders and community.
Electrostatic precipitator upgrade for stricter emission regulation
Authors: Stevanus Willy , Dipareza Syafei Arie
Published: February 2024

Electrostatic precipitator (ESP) is still one of the best dust collecting equipment used in many industries. However, in this modern world, many countries, through their government authorities, make the emission rule stricter in order to achieve healthier and cleaner environment. Original design of the ESP may not comply with the stricter rule resulting in complaints from the neighborhood and fines from the government. Through research and development, the original equipment manufacturer (OEM) of ESP is finding a way to upgrade the ESP without building a new one. Replacing the mechanical parts of the ESP is one of the ways, especially changing the design to a better one, such as rigid discharge electrode (RDE). The performance of the upstream fields will be improved thus bring better performance to the following fields as well. The other way is by replacing the electrical part which is the transformer/rectifier (T/R) set. With the recent technology and development, the new T/R set, which is a switch mode power supply (SMPS) become more sensitive responding to spark or arc and working on high frequency (25000Hz) resulting on better power output of the field and better performance to the whole ESP. This paper will further discuss several case studies which adapt the upgrade options with almost has 50% emission reduction.
Exploring variations in heat shock protein 70 expression among vulnerable populations across urban and rural areas in Klang Valley
Authors: Muhamad Siti Nurfahirah , How Vivien , Akim Abdah Md , Lim Fang Lee , Shabri Nur Shabrina Azreen Mohd
Published: February 2024

As global temperatures rise due to climate change, the occurrence and intensity of heat waves are anticipated to increase. Despite this anticipation, there remains a gap in comprehending the underlying defense mechanisms against heat stress, particularly exhibited by Heat Shock Proteins (HSP) within vulnerable populations. Hence, this study aims to assess the expression of heat shock protein 70 (HSP70) in response to heat exposure among vulnerable populations residing in both urban and rural areas. A total of 108 respondents were recruited using multistage sampling. This study consists of three (3) methods: Part I: face-to-face questionnaire; Part II: indoor heat exposure monitoring using Universal Thermal Climate Index (UTCI) classification; and Part III: blood sample collection to determine HSP70 protein expression using HSP70 High Sensitivity Enzyme-linked Immunosorbent Assay (ELISA) kit. The results show that urban areas were exposed to strong UTCI thermal stress, whereas rural areas experienced moderate UTCI thermal stress. A higher level of HSP70 protein expression was observed in urban (2.524 ± 0.26) than in rural respondents (2.095 ± 0.27). This study concludes that both urban and rural vulnerable populations demonstrated different patterns of HSP70 protein expression in response to various levels of heat exposure.
Surface boundary layers through a scalar equation with an eddy viscosity vanishing at the ground
Authors: Berselli Luigi C. , Legeais François , Lewandowski Roger
Published: February 2024

We introduce a scalar elliptic equation defined on a boundary layer given by Π2 × [0, ztop], where Π2 is a two dimensional torus, with an eddy vertical viscosity of order zα, α ∈ [0, 1], an homogeneous boundary condition at z = 0, and a Robin condition at z = ztop. We show the existence of weak solutions to this boundary problem, distinguishing the cases 0 ≤ α < 1 and α = 1. Then we carry out several numerical simulations, showing the ability of our model to accurately reproduce profiles close to those predicted by the Monin–Obukhov theory, by calculating stabilizing functions.
Operative Versorgungsmöglichkeiten für mediale Instabilitäten am Ellenbogen
Authors: Kadantsev Pavel , Siebenlist Sebastian , Geyer Stephanie
Published: February 2024

Nach schweren Verletzungen des medialen Bandapparates am Ellenbogen bleibt meist keine andere Wahl, als zu operieren. Dafür gibt es verschiedene Operationsverfahren. Welches davon gewählt wird, hängt von vielen Faktoren ab.
„Wir bieten eine evidenzbasierte Naturheilkunde an“
Authors: Niklas Anke
Published: February 2024

Seit 2015 gibt es am Stuttgarter Robert Bosch Krankenhaus die Abteilung für Naturheilkunde und Integrative Medizin. Heute wünschen sich viele Kolleg*innen mehr Präsenz der Naturheilkunde, sagt Dr. Marcela Winkler. Ein Gespräch über die Möglichkeiten der Integrativen Medizin.
Chinesische Arzneimitteltherapie bei Infekten
Authors: Hummelsberger Josef
Published: February 2024

Für viele Ärzt*innen und Therapeut*innen ist die chinesische Arzneimitteltherapie wegen der großen Anzahl von Arzneimitteln und Rezepturen möglicherweise etwas abschreckend. Die Behandlung von Erkältungskrankheiten und Infekten ist jedoch relativ einfach, die chinesische Arzneimitteltherapie hervorragend und schnell wirksam, der Erfolg für Ärzt*innen und Patient*innen offensichtlich. Und auch bei neuen viralen Infekten wie Covid-19 wirken die bekannten Rezepturen, da sie nicht erreger-, sondern syndromspezifisch angewendet werden.
Evaluation of Plant Essential Oils as Natural Alternatives for Alcohol-based Mouthwashes: Spotlight—Lemongrass and Citronella Java
Authors: Narayanan Nirupama , Sabour Jennifer , Chiswell Brian , Weiland Mitch
Published: February 2024

Objective The purpose of our study was to evaluate plant-derived essential oils (EOs) as natural alternatives to commercial alcohol-based mouthwashes in the prevention of dental caries since several recent studies have linked high incidence of oral cancer among users with a history of prolonged use of alcohol-based mouthwashes.

Materials and Methods Lemongrass, Citronella Java, Gingergrass, and Caraway seed EOs were tested against commonly occurring multidrug-resistant (MDR) oral bacteria namely Micrococcus luteus, Enterococcus faecalis, Streptococcus oralis, and Streptococcus salivarius. Agar well diffusion method was used to determine the antibacterial effectiveness of these EOs. Samples of Citronella Java and Lemongrass EO were also analyzed by gas chromatography (GC).

Results Lemongrass and Citronella Java exhibited the highest antibacterial activity against all four bacterial strains. Inhibition zones of Lemongrass were 12, 21.3, 28.3, and 32 mm in diameter against E. faecalis, M. luteus, S. oralis, and S. salivarius, respectively. In comparison, inhibition zones of Citronella Java were 11.5, 17, 20.7, and 20.2 mm in diameter against E. faecalis, M. luteus, S. oralis, and S. salivarius, respectively. A significant finding in our study was that antibacterial activity of Lemongrass was much higher than that of tetracycline, a broad-spectrum antibiotic, against S. oralis and S. salivarius, while the inhibitory effects of Citronella Java against these two oral streptococci were comparable to tetracycline. The major components of Citronella Java identified by GC were citronellal, citronellol, and geraniol, whereas Lemongrass was primarily composed of cis and trans forms of citral.

Conclusion Our results suggest that Lemongrass and Citronella Java could be promising natural alternatives to alcohol-based mouthwashes against MDR oral bacteria in the prevention of dental caries.
Percutaneous Neutralization Screw with Arthroscopic Bone Grafting for Scaphoid Nonunion
Authors: Sivakumar Brahman Shankar , Ang Soon Ghee , Smith Nicholas
Published: February 2024

Background The optimal management of established scaphoid nonunion is undecided. Priorities in this setting include the restoration of normal geometry and elimination of any bony defect, provision of adequate stability to allow early mobilization, and the achievement of union.

Technique We describe a technique of arthroscopic assessment and debridement, reduction of deformity and autologous cancellous bone grafting, and stabilization via a specifically designed neutralization screw, to realize the above aims.

Patients and Methods Consecutive patients undergoing this technique at a single center in Sydney, Australia, underwent pre- and postoperative assessment. Parameters assessed include a range of motion and patient-reported outcome measures.

Results In total, 14 patients (11 males and 3 females with a mean age of 22.4 years) underwent treatment of scaphoid nonunion using this technique, at a mean of 105.9 weeks following index injury. The cohort was followed up radiologically for a mean of 20.7 weeks and clinically for 147.3 weeks. Union was achieved in 13 of 14 patients at a mean of 12.4 weeks. Significant improvements were noted in pain visual analogue scale (VAS), while changes were also noted in range of motion and quick disabilities of arm, shoulder and hand (QuickDASH) score.

Conclusion This technique of arthroscopic management of scaphoid nonunion using a neutralization screw and cancellous bone graft is simple, easily reproducible, and confers numerous advantages when compared with other treatment modalities.
Superficial Femoral Artery Pseudoaneurysm Post-Subtrochanteric Femur Fracture
Authors: Tarhuni Ashref Saleh , Elmehdawi Haitham
Published: February 2024

Superficial femoral artery injury due to bone fragment of femoral fracture is often overlooked as it occurs only in rare cases of femoral fractures and the onset of symptoms usually happen weeks or even months later. The deep femoral artery, in fact, is more susceptible to injuries associated with femoral fractures. Moreover, a preexisting calcification lesion of the arterial wall might enhance the chance of such arterial injury, a condition that we noticed in the case we are reporting. We will illustrate a rare case of calcified superficial femoral artery injury complicating subtrochanteric femur fracture.
Nylon Suture Loop for Tagging Lymphatic Channels during Lymphaticovenular Anastomosis
Authors: Tan Grace Hui-Min , Feng Jiajun , Kok Yee Onn , Tan Pearlie Woon Woon , Wong Allen Wei-Jiat
Published: February 2024

Background Lymphaticovenular anastomosis (LVA) requires special supermicrosurgery techniques designed for vessels less than 0.8 mm in size. While preparing the field for LVA, it is often difficult to handle the lymphatic vessel directly without injuring it or fracturing it entirely.

Method We propose a novel technique, which is used in LVA for tagging of lymphatic vessels, with the use of a nylon 6–0 suture and micro-ligaclip.

Results We have successfully performed 78 LVAs in 26 cases with this method. The average lymphatic vessel size was 0.3 mm (0.15–0.8 mm).

Conclusion This novel technique to implement the use of a nylon suture with a micro-ligaclip to use as a vessel loop for lymphatics has not been previously described in the literature. It is a useful technique that we find beneficial to lymphatic identification through tagging of the lymphatic channels, contributing to greater success in each anastomosis.
Examining the Impact of Sensory Brand Experience on Brand Loyalty
Authors: Zha Dongmei , Foroudi Pantea , Melewar T. C. , Jin Zhongqi
Published: February 2024

This research investigates five sensory cues (i.e. visual, auditory, olfactory, tactile, and taste) influencing sensory brand experience leading to brand loyalty through customer satisfaction, brand attachment, and customer lovemarks. It also investigates the role of employee empathy in moderating the effect of sensory brand experience on customer satisfaction, brand attachment, and customer lovemarks. Our investigation followed a mixed-method research design, a predominantly quantitative approach by using questionnaire responses from 512 Chinese consumers, which is supported by 10 in-depth interviews and 4 focus group discussions to gain early insights into the subject area. The results suggest that five sensory cues have a significant impact on sensory brand experience and, in turn, contribute to customer satisfaction, brand attachment, and customer lovemarks. It also suggests that not all dimensions of customer satisfaction and brand attachment predict brand loyalty, and employee empathy negatively moderates the relationship between sensory brand experience and customer lovemarks.