bluuebunny/crossref_metadata_2025_split huggingface dataset:
First record of two cardinal fishes (Kurtiformes: Apogonidae) and a gobioid fish (Gobiiformes: Oxudercidae) from the Odisha coast, India
Authors: Patra Suman , Gouda Rajeswari , Behera Rajesh Kumar , Mohapatra Sandeep , Rout Sushree Swati , Patro Shesdev , Mishra Subhrendu Sekhar , Mohapatra Anil 
Published: March 2023

Abstract
Two cardinal fish species, Apogonichthyoides sialis (Jordan & Thompson 1914) and Oestorhinchus fleurieu Lacepède 1802, and one oxudercid goby, Trypauchenichthys sumatrensis Hardenberg 1931 are reported herein for the first time from the coastal waters of Odisha, India. This paper deals with the diagnostic characters and distributional information of all these three species to document their occurrence for the first time from Odisha state. Confusion in identity of these two apogonids along Odisha coast is cleared, while report of this oxudercid goby forms it’s only the second record from India.
An Invalidity Strategy against Patent Barriers: Evidence from Chinese Enterprises
Authors: Guo Qing , Qi Yong , Deng Yuting , Kang Zhengyang 
Published: March 2023

Abstract
In the global trade market, patents evolve into strategic barriers to block overseas competitors. Patent invalidity proceeding, the acknowledged countermeasure, is nevertheless a double-edge sword. Drawing on a conjunction of resource-based view theory and synergy theory, an invalidity strategy for the foreign enterprises against the barriers is provided, i.e., challenging the infringed patent cooperatively. A mediated moderating model together with samples consisting of Inter Partes Review proceedings pertaining to Chinese enterprises spanning a time period from 2012 to 2020 are introduced to empirically examine the cooperative invalidity strategy. We show that the strategy is indeed effective. Further analyses demonstrate that a foreign enterprise would receive some higher odds of the patent being invalided when cooperating with an NPE/NPEs compared to a PE/PEs. Additionally, dynamic capability mediates the relationship between the strategy and the outcome of an invalidity proceeding while patent quality plays a moderating role.
JEL Classification: O31; O34; K41
Citric acid cross-linked regenerated bacterial cellulose as biodegradable and biocompatible film for food packaging
Authors: Yu Qingqing , Yang Luyu , Wang Shujun , Zhang Lei , Sun Dongping 
Published: March 2023

Abstract
The global depletion of petrochemical resources, coupled with the environmental problems caused by the widespread use of traditional plastics, have brought more attention to exploring biodegradable materials. However, the high preparation cost and complex manufacturing processes leave us few choices of raw materials of biodegradability. Herein, regenerated bacterial cellulose (RBC) was used to prepare a kind of environmentally-friendly material that degrades rapidly. Further addition of citric acid (CA) enhances its mechanical properties and degradability, resulting in a CA-cross-linked regenerated cellulose (CA-RC) film with a fracture strength of 93.40 MPa and Young's modulus of 4.2 GPa, which behaves better than commercial plastic wrap in food preservation. In addition, the film could be completely degraded in soil within two weeks, of which the biocompatibility is verified by both cell proliferation and hemolysis experiments. The results show that the CA-RC films have great application prospects in food packaging and biomedical materials.
Development and implementation of Interprofessional Education: Global perspectives
Authors: Delawala Farhin , Heymans Yolande , Christmals Christmal Dela 
Published: March 2023

Abstract
Introduction: Several published theoretical guidelines and evaluations are available to guide the development and implementation of Interprofessional Education (IPE) programmes. However, it is expedient to learn from the practical experiences of experts involved in the development and implementation of IPE programmes to support the development and implementation of new programmes. This study explored the perspectives of international experts on the development and implementation of IPE programmes, including the challenges faced.
Methodology: A qualitative exploratory descriptive design was used where fifteen international experts in the development and implementation of IPE were purposively sampled and interviewed. A semi-structured interview guide, using the key areas of IPE programme development and implementation was used. Data were analysed using thematic content analysis.
Results: Four themes were identified and described: IPE structure in higher education institutions; faculty and student involvement; challenges and opportunities; and evaluation and quality improvements in IPE programmes.
Conclusion: Interprofessional education programmes are gaining ground internationally. Each continent presents special contextual issues regarding the development and implementation of IPE programmes, nevertheless, the challenges and opportunities that confront the development of the programmes are commonly noted, although to different extents. Institutional culture, resource limitations, already packed curricula, and professional hierarchies and rivalry were challenges identified. Comprehensive stakeholder engagements are very important in overcoming challenges and sustaining IPE programmes. Despite the push for making IPE compulsory in undergraduate health professions’ education, with some accreditation bodies requiring IPE as a component of the curricula for accreditation, it is important to consider the context compulsory IPE.
Research on Topology Dynamic Perception and Line Parameter Identification of Distribution Network
Authors: He Baina , Dai Xueting , Li Hui , Dong Yanchen , Wu Shuo , Liu Yang , Meng Fantao , Dai Weihan , Wei Yuanlong 
Published: March 2023

Abstract
The absence of network topology and line parameter information data affects the condition monitoring, analysis and control of active distribution networks. In order to solve this problem, this paper proposes a method to identify the topology and line parameters of distribution network using the measured values obtained by intelligent meters and phasor measurement units. The initial model of topology and line parameter identification based on linear regression is solved by orthogonal triangular decomposition to obtain the initial values of topology and line, and the improved Newton Raphson (NR) is used to accurately identify the network topology and parameters. The proposed method is validated on IEEE 33 bus test system.
Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome
Authors: Roberts Ivayla , Muelas Marina Wright , Taylor Joseph M. , Davison Andrew S. , Winder Catherine L. , Goodacre Royston , Kell Douglas B. 
Published: March 2023

Abstract
INTRODUCTION
Since the beginning of the SARS-CoV-2 pandemic in December 2019 multiple metabolomics studies have proposed predictive biomarkers of infection severity and outcome. Whilst some trends have emerged, the findings remain intangible and uninformative when it comes to new patients.
OBJECTIVES
In this study, we accurately quantitate a subset of compounds in patient serum that were found predictive of severity and outcome.
METHODS
A targeted LC-MS method was used in 46 control and 95 acute COVID-19 patient samples to quantitate the selected metabolites. These compounds included tryptophan and its degradation products kynurenine and kynurenic acid (reflective of immune response), butyrylcarnitine and its isomer (reflective of energy metabolism) and finally 3’,4’-didehydro-3’-deoxycytidine, a deoxycytidine analogue, (reflective of host viral defence response). We subsequently examine changes in those markers by disease severity and outcome relative to those of control patients’ levels.
RESULTS & CONCLUSION
Finally, we demonstrate the added value of the kynurenic acid / tryptophan ratio for severity and outcome prediction and highlight the viral detection potential of ddhC.
Clustering of Cancer Responses to Stressors: Insights for Cancer Treatment and Disease Understanding
Authors: Hadi Christopher El , Hilal George , Aoun Rita 
Published: March 2023

Abstract
Cancer cells have unique metabolic activity in the glycolysis pathway compared to normal cells, which allows them to sustain their growth and proliferation. Therefore, inhibiting glycolytic pathways may provide a promising therapeutic approach to cancer treatment. In this first-of-its-kind study, we analyzed the genetic responses of cancer cells to stressors, particularly drugs that target the glycolysis pathway. Gene expression data for experiments on different types of cancer cells were retrieved from the Gene Expression Omnibus and fold-change in expression was then clustered after dimensionality reduction. We identified four response clusters, the first and third were affected the most by anti-glycolytic drugs, consisting mainly of squamous and mesenchymal tissues, showing higher mitotic inhibition and apoptosis. Drugs acting on several glycolytic targets at once resulted in such responses. The second and fourth clusters were relatively unaffected by the treatments, succumbing the least to glycolysis inhibitors. These clusters are mainly gynecological and hormone-sensitive, with drugs acting on hexokinases mainly inducing this response. This study highlights the importance of analyzing the molecular states of cancer cells to identify potential targets for personalized cancer treatments and to improve our understanding of the disease.
Resonant exciton scattering reveals Raman forbidden phonon modes in layered GeS
Authors: Jadczak Joanna , Andrzejewski Janusz , Debus Joerg , Ho Ching-Hwa , Bryja Leszek 
Published: March 2023

Abstract
Semiconducting layered group-IV monochalcogenides such as black phosphorous and germanium monosulfide with an anisotropic puckered crystalline structure in each layer have recently attracted much attention due to their unique optical and electronic properties. However, exciton-phonon interactions were only superficially elucidated, although they tremendously affect the opto-electronic operation principles and performance. We study the resonant Raman scattering and the photoluminescence of the optically active Γ-exciton in layered GeS flakes and evaluate the exciton and phonon responses on variations in the excitation energy, laser-light and emission polarizations, temperature, and laser power. The resonant Raman scattering leads to the observation of dark first- and second-order optical phonon modes whose symmetries and energies are calculated by means of a density functional perturbation theory. We reveal a double-resonance mechanism activating the Raman forbidden (dark) longitudinal-optical scattering processes: For (quasi)-resonantly exciting excitons in the GeS flakes the selection rules become relaxed so that a fourth-order Fröhlich intraband process is mediated by the scattering of the electron with a longitudinal-optical and an acoustic phonon. Our experiments demonstrate considerable coupling between phonons and photogenerated carriers in GeS flakes and the high efficiency of multi-order scattering in optical processes, and outline that layered GeS as direct band-gap semiconductor provides a promising material system for opto-electronic applications.
Environmental hygiene in outdoor food markets in Africa: a scoping review
Authors: Nijhawan Anisha , Budge Sophie , Reddy Olivia , Bartram Jamie , Howard Guy 
Published: March 2023

Abstract
Outdoor food markets represent important locations where foodborne illnesses and other infectious diseases can spread. Countries in Africa face particular challenges given the importance of these markets in food supply and low rates of access to safely managed water and sanitation. We undertook a scoping review of evidence related to disease transmission in food markets in sub-Saharan Africa, North Africa and identified 46 papers for data extraction and synthesis. Vendor behaviour or awareness was reported in the majority of papers and about half reported on market infrastructure. Fewer studies have been reported on regulatory environments or food contamination. Studies on water supply, sanitation and handwashing facilities focused on the presence of services and did not evaluate quality, thus conclusions cannot be drawn on service adequacy. Studies of vendor behaviour were primarily based on self-reporting and subject to bias. Most studies reported high levels of vendor awareness of the need for hygiene, but where observations were also conducted, these showed lower levels of behaviours in practice. Our findings suggest that there are limited studies on environmental hygiene in outdoor food markets and this is an area warranting further research, including into the quality of services and addressing methodological weaknesses.
Removal of phosphate with a polyacrylonitrile composite functionalized by a metal organic framework-enhanced layered double hydroxide
Authors: Song Jianzhi , Cha Ligen , Sillanpää Mika , Sainio Tuomo 
Published: March 2023

Abstract
Excessive phosphorus causes eutrophication problems. The adsorptive removal of phosphate is prevalent and practical in large-scale applications, such as column adsorption. A metal organic framework (MOF)-enhanced layered double hydroxide (LDH) adsorbent material was developed and studied for batch adsorption and then combined with polyacrylonitrile (PAN) to form MOF/LDH/PAN composite beads working as a functional material for columns. Scanning electron microscopy (SEM) images showed the well-dispersed adsorbent powder in porous composite beads. The Fowler–Guggenheim isotherm model described the phosphate adsorption behavior of the MOF/LDH powder with a maximum capacity of 74.96 mg P/g. Mass transfer in the composite beads was successfully described with the Fickian diffusion model. The composite-packed fixed bed treated 37.95 BVs of the influent (55.51 mg P/L phosphate solution) and achieved an uptake of 18.92 mg P/g, with a removal efficiency of 96.42%, before the breakthrough point in the column study. The phosphate-loaded composite bed was regenerated with 0.1 M NaOH to 70% efficiency within 30 BVs. The polymer composite can be considered a practical solution for adsorption-based water treatment applications in tank and column processes where powder adsorbents cannot be applied.
Lysine-specific Demethylase 6A Upregulates Cadherin-1 and Accelerates
Gastric Cancer Growth
Authors: Li Deguan , Zhang Shangxin , Yan Qiang , Li Yongxiang 
Published: March 2023

Background:
Gastric cancer (GC) ranks fifth among all common malignancies globally.
Genetic research has revealed several genes that are frequently dis-regulated in GC, such as
lysine-specific demethylase 6A (KDM6A) and cadherin-1 (CDH1).

Objective:
This study aimed to examine the expression profile and role of KDM6A in GC, as well
as the molecular pathway involved.

Methods:
The expression profile and overall survival data of KDM6A were retrieved from the
TCGA database. Expression levels of KDM6A were also measured in GC patient samples and
compared with those of healthy controls. Furthermore, stable silencing of KDM6A was introduced
into the GC cell line NCI-N87, followed by assessments of cell proliferation, migration and invasion,
in the xenograft mouse model. The metastatic status of mice injected with NCI-N87 cells was
also analyzed.

Results:
In patients diagnosed with GC, KDM6A was upregulated. Silencing KDM6A reduced the
proliferation, migration and invasion of cells, as well as the growth of xenograft tumors. KDM6A
knockdown also inhibited metastatic behaviors of injected NCI-N87 cells, as well as elevated
CDH1 expression, leading to reversed epithelial-mesenchymal transition.

Conclusion:
KDM6A serves as an oncogene in GC and exerts its pro-tumor functions by repressing
the expression of CDH1.
A graph-based multilevel property extraction network for predicting protein drug target binding affinity
Authors: Chen Peng , Huang Yujing , Wang Bing , Gu PengYing 
Published: March 2023

Background:
As the basic material of life, protein regulates physiological activities such as material in and out of cells, signal transduction, metabolism and so on. However, studies have shown that proteins cannot perform these functions alone in cells, and need to be combined with ligands to perform functions.

background:
As the basic material of life, protein regulates physiological activities such as material in and out of cells, signal transduction, metabolism and so on. However, studies have shown that proteins cannot perform these functions alone in cells, and need to be combined with ligands to perform functions.

Objective:
The discovery of drugs is based on this mechanism to be developed. But at present, it is difficult to discover new drugs through biological experiments, which lead to high cost, deteriorate the environment and make the human body more resistant to drugs.

objective:
The discovery of drugs is based on this mechanism to be developed. But at present, it is difficult to discover new drugs through biological experiments, which lead to cost high, deteriorate the environment and make human body more resistant to drugs. The rapid development of computer can assist researchers to screen out potential drugs that can bind to proteins in advance. In the past few decades, most of drug-target affinity prediction methods have disadvantages in high requirements on data set and difficulties to predict the binding strength of drug-target.

Method:
The rapid development of computers can assist researchers in screening potential drugs that can bind to proteins in advance. In the past few decades, most of the protein drug-target affinity prediction methods have had disadvantages of high requirements on data set and difficulties to predict the binding strength of drug-target.

method:
This paper proposes a multi-level feature extraction model based on graph convolution to predict drug-target affinity. The model uses an integrated neural network of CNN and GNN to learn the characteristics of the input data of drug-targets.

Results:
This paper proposes a multilevel feature extraction model based on graph convolution to predict protein drug-target affinity. The model uses an integrated neural network of Text CNN and GNN to learn the characteristics of the input data of drug-targets.

result:
Experimental results on the benchmark datasets of Davis and Kiba showed that the proposed graph-based convolution network achieves good performance on drug-target affinity prediction.

Conclusion:
Experimental results on the benchmark datasets of Davis and Kiba showed that the proposed graph-based convolution network achieves good performance on drug-target affinity prediction.

conclusion:
The results showed that the multi-level feature extraction network model based on graph convolution (GCN-GAT-GCN) is more effective in learning molecular feature information.

other:
None
Development of integrated STEM education learning units to access students' systems thinking abilities
Authors: Wahono Bevo , Husna Arinal , Hariyadi Slamet , Anwar Yenny , Meilinda Meilinda 
Published: March 2023

This research aims to develop a Biology Science learning unit based on Science, Technology, Engineering, and Mathematics (STEM) that is valid, practical and effective in accessing students' system thinking skills. The topic ,of the Biology Science learning unit is the water cycle. The development used the ADDIE model research and development for the research method. The research subjects were 32 grade VII students from State Junior High School in Jember. The research findings showed that the average validation result of STEM-based learning units was 95.3%. These can be considered valid. The Paired Sample Test result is 0.001 or less than 0.05, so there is a significant difference between the pretest and post-test results. The average effectiveness test score is 0.73, higher than the typical gain test score, and the results include the high criteria. Finally, the average percentage of practicality tests is in the high category of 89%. System thinking skills are needed in learning activities to describe and solve a problem using integrated STEM education. Therefore, the STEM-based learning unit on the water cycle topic could be applied in the learning process to acquire students' system thinking abilities in the Biology Science learning unit. Finally, assessing student responses during the learning using this learning unit is pivotal for future research.
Once-Weekly Basal Insulin Fc Demonstrated Similar Glycemic Control to Once-Daily Insulin Degludec in Insulin-Naive Patients With Type 2 Diabetes: A Phase 2 Randomized Control Trial
Authors: Bue-Valleskey Juliana M. , Kazda Christof M. , Ma Chenchen , Chien Jenny , Zhang Qianyi , Chigutsa Emmanuel , Landschulz William , Haupt Axel , Frias Juan P. 
Published: March 2023

OBJECTIVE
Basal insulin Fc (BIF) (insulin efsitora alfa; LY3209590), a fusion protein combining a novel single-chain insulin variant with a human IgG Fc domain, is designed for once-weekly basal insulin administration. This phase 2 study assessed the safety and efficacy of BIF versus degludec in insulin-naive patients with type 2 diabetes (T2D) previously treated with oral antihyperglycemic medications.

RESEARCH DESIGN AND METHODS
During this randomized, parallel, open-label study, 278 insulin-naive patients with T2D were randomly assigned (1:1) to receive BIF once weekly or degludec once daily over the 26-week treatment period. Both groups were titrated to fasting glucose of 80–100 mg/dL (4.4 to &lt;5.6 mmol/L). The primary end point was HbA1c change from baseline to week 26 (noninferiority margin 0.4%). Secondary end points included fasting blood glucose (FBG), six-point glucose profiles, and rate of hypoglycemia.

RESULTS
After 26 weeks of treatment, BIF demonstrated a noninferior HbA1c change from baseline versus degludec, with a treatment difference of 0.06% (90% CI −0.11, 0.24; P = 0.56). Both BIF and degludec treatment led to significant reductions in FBG from baseline. At week 26, the between-treatment difference for BIF versus degludec was 4.7 mg/dL (90% CI 0.1, 9.3; P = 0.09). The rate of level 2 hypoglycemia was low and not significantly different between treatment groups (BIF 0.22 events/patient/year, degludec 0.15 events/patient/year; P = 0.64); there was no severe hypoglycemia. The occurrence of treatment-emergent adverse events was also similar between BIF and degludec.

CONCLUSIONS
Once-weekly BIF achieved excellent glycemic control similar to degludec, with no concerning hypoglycemia or other safety findings.