bluuebunny/crossref_metadata_2025_split huggingface dataset:
Just‐in‐time identification for cross‐project correlated issues
Authors: Ren Hao , Li Yanhui , Chen Lin , Cao Yulu , Zhang Xiaowei , Nie Changhai 
Published: December 2023

AbstractIssue tracking systems are now prevalent in software development, which would help developers submit and discuss issues to solve development problems on software projects. Most previous studies have been conducted to analyze issue relations within projects, such as recommending similar or duplicate bug issues. However, along with the popularization of co‐developing through multiple projects, many issues are cross‐project correlated (CPC), that is, one issue is associated with another issue in a different project. When developers meet with CPC issues, it may primarily increase the difficulties of solving them because they need information from not only their projects but also other related projects that developers are not familiar with. Identifying a CPC issue as early as possible is a fundamental challenge for both managers and developers to allocate the resources for software maintenance and estimate the effort to solve it. This paper proposes 11 issue metrics of two groups to describe textual summary and reporters' activity, which can be extracted just after the issue was reported. We employ these 11 issue metrics to construct just‐in‐time (JIT) prediction models to identify CPC issues. To evaluate the effect of CPC issue prediction models, we conduct experiments on 16 open‐source data science and deep learning projects and compare our prediction model with two baseline models based on textual features (i.e., Term Frequency‐Inverse Document Frequency [TF‐IDF] and Word Embedding), which are commonly adopted by previous studies on issue prediction. The results show that the JIT prediction model based on issue metrics has significantly improved the performance of CPC issue prediction under two evaluation indicators, Matthew's correlation coefficient (MCC) and F1. In addition, we find that the prediction model is more suitable for large‐scale complex core projects in the open‐source ecosystem.
Avulsion of the lateral origin of the gastrocnemius muscle mimicking cranial cruciate ligament deficiency in a dog
Authors: Zadeh Abedin Shaban , Boston Sarah Elizabeth 
Published: December 2023

AbstractAvulsion of the lateral head of the gastrocnemius is an uncommon diagnosis. Nonetheless, it is a possible cause of lameness in dogs, and it could be misdiagnosed as a cranial cruciate ligament injury if a systematic approach to clinical case management is not followed. The treatment of choice for avulsion of the gastrocnemius is surgical stabilisation. The proximity to the peroneal nerve and scarcity of bone for purchase for stabilisation are surgical challenges. However, the stabilisation by a spiked washer and screw can yield an excellent outcome for return to function.
Multi‐drug resistant Salmonella ser. Dublin cultured from cryopreserved Holstein semen
Authors: Holschbach Chelsea L. , Breuer Ryan M. , Pohly Andrea E. , Crawford Chelsea , Aulik Nicole A. 
Published: December 2023

AbstractA 17‐month‐old Holstein bull presented from a stud in the Midwest United States to the University of Wisconsin‐Madison Veterinary Teaching Hospital and Wisconsin Veterinary Diagnostic Laboratory for euthanasia and necropsy following isolation of a multi‐drug resistant strain of Salmonella enterica subspecies enterica serotype Dublin from cryopreserved semen cultured as part of the stud's protocol for random sampling for bacterial culture. Additionally, the bull had five consecutive monthly positive Salmonella ser. Dublin enzyme‐linked immunosorbent assay tests with percent positivity ranging from 135 to 157. Antemortem diagnostics included physical examination, complete blood count, biochemistry and blood culture. A postmortem examination was performed with culture, PCR and histopathology of numerous tissues and fluids. Salmonella ser. Dublin was cultured from urine, bile, faeces, prostate, seminal vesicles, preputial mucosa, colon and small intestine. To the authors’ knowledge, this is the first report of Salmonella ser. Dublin being isolated from the male reproductive tract and cryopreserved bovine semen in the United States.
Efficient treatment of tannery wastewater through aeration, coagulation, and algal pond
Authors: Afzaal Muhammad , Iqbal Syeda Saira , Abbasi Naeem Akhtar , Manan Hafiz Abdul , Rasheed Rizwan , Farhan Muhammad , Nawaz Rab , Ali Khan Aamir Amanat , Zaman Qamar uz , Sultan Khawar , Mansoor Sajid , Khan Madiha , Ashraf Muhammad Adnan 
Published: December 2023

AbstractBackgroundTannery wastewater effluents contain many toxic and carcinogenic heavy metals and physiochemical parameters that need to be removed before these effluents enter in the main water bodies or rivers. In this study, the effluents from the tannery industry are treated through aeration, coagulation, and Chlorella vulgaris pond treatment processes for the removal of physiochemical: parameters only.MethodsThe effect of removal efficiencies (%) was studied on the physicochemical parameters, including salinity, electrical conductivity (EC), total dissolved solids (TDS), turbidity, total suspended solids (TSS), biochemical oxygen demand (BOD), and chemical oxygen demand (COD).ResultsThe key results showed that the removal of EC, TDS, turbidity, TSS, BOD, and COD was 80.2%, 67%, 81%, 80.8%, 68.6%, and 100%, respectively, in raw wastewater treatment having 25, 50, and 70 g of algae C. vulgaris doses. The removal efficiencies (%) of salinity, EC, TDS, turbidity, TSS, BOD, and COD were 83%, 87.1%, 77.1%, 80%, 40%, 97%, and 98%, respectively, during coagulated wastewater treatment with three doses of algae. The observed improvement in treated wastewater indicated that the removal efficiencies (%) of salinity, EC, TDS, turbidity, TSS, BOD, and COD were 85.7%, 39.3%, 81.3%, 67.8%, 50.3%, 97%, and 98%, with C. vulgaris.ConclusionThis study confirmed that the treatment of tannery wastewater by these processes increased the pollutant removal efficiencies as all the physiochemical parameters were exceeding the permissible limits.Results contribution in futureThis research will be helpful to treat the industrial wastewaters or effluents before it further mixes up in the main water streams. In this way, water quality will be better, aquatic life will be saved, and further researchers can analyze more ways for efficient treatments as they have a baseline data through this study findings.Practitioner Points
One of the most pollutant sources in terms of both physical and chemical parameters is the produced wastewater from tannery industries.
The effluents from tannery industry are treated through aeration, coagulation, and algae ponds treatment processes.
These treatment made the tannery wastewater as environmental friendly.
Characteristics and removal efficiency of microplastics at secondary wastewater treatment plant in Lithuania
Authors: Pleskytė Sonata , Uogintė Ieva , Burbulytė Austėja , Byčenkienė Steigvilė 
Published: December 2023

AbstractWastewater treatment plants (WWTPs) are the most significant barrier between anthropogenic microplastics and environmental ecosystems. The distribution and characteristics of microplastics in WWTPs remain uncertain and incompletely understood, particularly in northeastern Europe (Baltic States), where there is a lack of data on microplastic pollution and distribution. This study presents the removal efficiency and variation in characteristics of microplastics in different stages of the secondary WWTP during a 3‐month sampling campaign in Lithuania. The abundance, size, shape, color, and chemical composition of microplastics in the wastewater at different treatment stages were thoroughly examined, in a size range from 20 to 1000 μm. On average, 2962 ± 25 particles/L of microplastic enter the studied WWTP. The obtained microplastic removal efficiency was 55.4% ± 3.9%, highlighting the necessity to enhance wastewater treatment strategies focusing on microplastic removal. Fragment‐type microplastics smaller than 100 μm were removed from wastewater samples with the highest removal efficiency. Furthermore, our study includes recommendations to improve microplastic removal efficiency and contribute to mitigating microplastic pollution.Practitioner Points
A large number of MPs in the size range of 20–1000 μm enter Lithuanian WWTP.
Small–sized MPs within a range of 20–50 μm and 50–100 μm were removed with the highest efficiency of 54.07 ± 1.68% and 56.4 ± 2.43%, respectively.
The shape and size of MPs have a major impact on the efficiency of their removal.
Future research should prioritize the development of economical and energy–efficient systems, specifically designed for the removal of MPs in WWTPs.
Towards a X-as-a-Service Application in Industrial Laundry – A Case Study of Information Requirement Engineering in Emerging Data Ecosystems
Authors: Werling Maximilian , Keller Alexandra , Lasi Heiner 
Published: December 2023

AbstractIn past years, Everything- or X-as-a-Service applications have left their mark on the consumer market, changing the landscape of on-demand delivery of goods and services. In recent years, these applications have also gained traction in an industrial context. However, companies are often unable to provide such a service on their own because they lack the necessary data or capabilities. To address this, companies are coming together to be part of larger Data Ecosystems. Based on a case study in industrial laundry, this paper explores the first steps towards a Laundry-Finish-as-a-Service application, focusing on the Information Requirement Concept. Based on Action Design Research as a guiding research process, three small to medium sized enterprises – a manufacturer of textile finishing machines, a manufacturer of gas burners as well as an industrial laundry – were scientifically accompanied over the course of eight months, with two workshops and several bilateral in-depth sessions. First results are presented and discussed in order to derive design principles for the Information Requirement Concept for a XaaS application in emerging data ecosystems.
Improving the Implementation of Microservice-Based Systems with Static Code Analysis
Authors: Copei Sebastian , Schreiter Maximilian , Zündorf Albert 
Published: December 2023

Abstract are powerful tools to support the development process and help to write better and cleaner code. However, most aim with their support on the development of monolithic software. For the development of distributed systems like a microservices-based system, there is a lack of support for e.g. inter-service communication via . This means through the string-based communication used during , the is not able to support with autocompletion, syntax highlighting or type checking. To solve this issue, we introduce an plugin called , based on the , which gives additional support during the development of distributed microservice-based systems, in a environment.
Traumatic inflammatory response: pathophysiological role and clinical value of cytokines
Authors: Li Rui , Ye Jing Jing , Gan Lebin , Zhang Mengwei , Sun Diya , Li Yongzheng , Wang Tianbing , Chang Panpan 
Published: December 2023

AbstractSevere trauma is an intractable problem in healthcare. Patients have a widespread immune system response that is complex and vital to survival. Excessive inflammatory response is the main cause of poor prognosis and poor therapeutic effect of medications in trauma patients. Cytokines are signaling proteins that play critical roles in the body's response to injuries, which could amplify or suppress immune responses. Studies have demonstrated that cytokines are closely related to the severity of injuries and prognosis of trauma patients and help present cytokine-based diagnosis and treatment plans for trauma patients. In this review, we introduce the pathophysiological mechanisms of a traumatic inflammatory response and the role of cytokines in trauma patients. Furthermore, we discuss the potential of cytokine-based diagnosis and therapy for post-traumatic inflammatory response, although further clarification to elucidate the underlying mechanisms of cytokines following trauma is warranted.
Efficient net shape forming of high-strength sheet metal parts by Transversal Compression Drawing
Authors: Briesenick David , Liewald Mathias 
Published: December 2023

AbstractIn this contribution, a new forming method is presented for high-strength steel sheet metal materials called Transversal Compression Drawing (TCD). For TCD, the blankholder of the conventional deep drawing process is replaced by sliders introducing a vertical force along the blank edge. Compared to conventional deep drawing, compressive stresses are thereby superimposed in the flange area of the sheet metal material, reducing the springback of formed components and the forces required during the process. Proof of this is provided here on the basis of numerical investigations in which conventional deep drawing and TCD are compared using the example of an “S-Rail” component made from DP980. Results of these investigations reveal that with TCD a maximum reduction in springback by more than 5 mm is achieved, leading to an improvement in the component´s overall shape accuracy of more than 55%. Furthermore, frictional work is decreased by − 6.92 kJ/kg, resulting in an overall reduction of maximum forming forces by 67.4%. Besides, TCD enables a trim-free net shape forming of the final part contour in a single operation and an increased material utilization of 4.5% from coil to part. Not least, no sheet thinning occurs with TCD, whereas a maximum thinning of 12% is observed with the conventional deep drawing process.
The Neonatal QRS Complex and Its Association with Left Ventricular Mass
Authors: Molin Julie , Hartmann Joachim , Pærregaard Maria Munk , Thygesen Caroline Boye , Sillesen Anne-Sophie , Raja Anna Axelsson , Vøgg Ruth Ottilia Birgitta , Iversen Kasper Karmark , Bundgaard Henning , Christensen Alex Hørby 
Published: December 2023

AbstractTo evaluate QRS complex features during the first month of life and the association with echocardiographic measurements of left ventricular mass in neonates. Prospective cohort study of neonates with electrocardiography (ECG) and echocardiography performed during the first month of life. Left ventricular mass index (LVMI) was determined by echocardiography and the correlation with electrocardiographic markers of LVMI outliers (≥ 98th percentile) were analyzed. We included 17,450 neonates (52% boys; median age at examination 11 days) and found an increase in median QRS duration and LVMI during the first month of life (54 vs. 56 ms and 24.7 vs. 28.6 g/m2 at days 0–4 and 25–30, respectively; both p < 0.001). All investigated ECG features (QRS duration, QRS area in V1/V6, maximum amplitudes of S-V1/R-V6, and the Sokolow–Lyon voltage product) showed no to low correlation with LVMI, resulting in low sensitivities (0–9.0%), but high specificities (97.2–98.1%), and area under the curve values close to the identity line (0.49–0.61) for identifying LVMI outliers. Adjustment of outlier definition for LVMI and threshold for QRS features had no significant effect on sensitivity. We present reference values for QRS complex features and their association with LVMI in neonates from a large, unselected, population-based cohort. The QRS complex gradually evolved during the first month of life but had a low correlation with LVMI. Our results indicate a poor diagnostic value of using ECG features to identify LVMI outliers in neonates.Trial Registry Copenhagen Baby Heart, NCT02753348, https://clinicaltri-als.gov/ct2/show/NCT02753348?cond=Copenhagen+Baby+Heart&draw=2&rank=1, deidentified individual participant data will not be made available.
Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT
Authors: Almeida Silvia D. , Norajitra Tobias , Lüth Carsten T. , Wald Tassilo , Weru Vivienn , Nolden Marco , Jäger Paul F. , von Stackelberg Oyunbileg , Heußel Claus Peter , Weinheimer Oliver , Biederer Jürgen , Kauczor Hans-Ulrich , Maier-Hein Klaus 
Published: December 2023

Abstract
Objectives
To quantify regional manifestations related to COPD as anomalies from a modeled distribution of normal-appearing lung on chest CT using a deep learning (DL) approach, and to assess its potential to predict disease severity.

Materials and methods
Paired inspiratory/expiratory CT and clinical data from COPDGene and COSYCONET cohort studies were included. COPDGene data served as training/validation/test data sets (N = 3144/786/1310) and COSYCONET as external test set (N = 446). To differentiate low-risk (healthy/minimal disease, [GOLD 0]) from COPD patients (GOLD 1–4), the self-supervised DL model learned semantic information from 50 × 50 × 50 voxel samples from segmented intact lungs. An anomaly detection approach was trained to quantify lung abnormalities related to COPD, as regional deviations. Four supervised DL models were run for comparison. The clinical and radiological predictive power of the proposed anomaly score was assessed using linear mixed effects models (LMM).

Results
The proposed approach achieved an area under the curve of 84.3 ± 0.3 (p < 0.001) for COPDGene and 76.3 ± 0.6 (p < 0.001) for COSYCONET, outperforming supervised models even when including only inspiratory CT. Anomaly scores significantly improved fitting of LMM for predicting lung function, health status, and quantitative CT features (emphysema/air trapping; p < 0.001). Higher anomaly scores were significantly associated with exacerbations for both cohorts (p < 0.001) and greater dyspnea scores for COPDGene (p < 0.001).

Conclusion
Quantifying heterogeneous COPD manifestations as anomaly offers advantages over supervised methods and was found to be predictive for lung function impairment and morphology deterioration.

Clinical relevance statement
Using deep learning, lung manifestations of COPD can be identified as deviations from normal-appearing chest CT and attributed an anomaly score which is consistent with decreased pulmonary function, emphysema, and air trapping.

Key Points
• A self-supervised DL anomaly detection method discriminated low-risk individuals and COPD subjects, outperforming classic DL methods on two datasets (COPDGene AUC = 84.3%, COSYCONET AUC = 76.3%).
• Our contrastive task exhibits robust performance even without the inclusion of expiratory images, while voxel-based methods demonstrate significant performance enhancement when incorporating expiratory images, in the COPDGene dataset.
• Anomaly scores improved the fitting of linear mixed effects models in predicting clinical parameters and imaging alterations (p < 0.001) and were directly associated with clinical outcomes (p < 0.001).
Interdecadal change of Tibetan Plateau vortices during the past 4 decades and its possible mechanism
Authors: Lin Zhiqiang , Guo Weidong , Ge Jun , Yao Xiuping , Su Dongsheng 
Published: December 2023

AbstractThe Tibetan Plateau vortices (TPVs) are mesoscale weather systems active at the near-surface of the Tibetan Plateau (TP), which are one of the major precipitation-producing systems over the TP and its surrounding areas. TPVs mainly occur in the warm season from May to September. In this paper, we investigated the interdecadal change of TPVs in the warm seasons of 1979–2020 with the six widely used reanalysis datasets. A significant change of the TPVs frequency appears around the mid-1990s, associated with less TPVs during 1979–1995 and more TPVs during 1996–2020, which is constant among the multiple reanalysis datasets. The abrupt change of TPVs is caused by a transition of the Atlantic Multi-decadal Oscillation (AMO) from a cold phase to a warm phase in the mid-1990s. The shift of AMO leads to a silk-road pattern-like wave train and a spatially asymmetric change of tropospheric temperature. It modifies the intensity of the subtropical westerly jet and the TP heating, leading to the interdecadal change of TPV activities.
Relationships between diet and gut microbiome in an Italian and Dutch cohort: does the dietary protein to fiber ratio play a role?
Authors: Tagliamonte Silvia , Puhlmann Marie-Luise , De Filippis Francesca , Guerville Mathilde , Ercolini Danilo , Vitaglione Paola 
Published: December 2023

Abstract
Purpose
To investigate the relationships between the habitual diet, the protein to fiber ratio (P/F), and the gut microbiome in one Italian and one Dutch cohort of healthy subjects consuming an omnivore diet.

Methods
The Italian cohort included 19 males (M_IT, BMI 25.2 ± 0.72 kg/m2, age 25.4 ± 0.96 years) and 20 females (F_IT, BMI 23.9 ± 0.81 kg/m2, age 23.8 ± 0.54 years); the Dutch cohort included 30 females (F_NL, BMI: 23.9 ± 0.81 kg/m2, age: 23.8 ± 0.54 years). Individual diets were recorded through Food Frequency Questionnaires and analyzed to assess the nutrient composition. Gut microbiome was assessed in fecal samples.

Results
M_IT consumed higher levels of proteins than F_NL and F_IT, whereas dietary fiber intake did not differ among groups. Data showed that consumption of plant protein to animal protein (PP/AP) and PP to total proteins ratio can determine a differentiation of F_NL more than the absolute amount of dietary fiber. Conversely, the protein to fiber (P/F) and AP to total proteins better characterized M_IT. M_IT harbored the highest abundance of proteolytic microorganisms and the lowest microbial gene richness. Conversely, F_NL had more fiber-degrading microorganisms like Bacteroides thetaiotaomicron, Bacteroides xylanisolvens, Roseburia sp., Coprococcus eutactus and Parabacteroides along with the highest number of genes encoding carbohydrate-active enzymes and gene richness. It was predicted that by each unit decrease in the P/F a 3% increase in gene richness occurred.

Conclusion
Study findings suggested that dietary P/F, rather than the absolute amount of dietary fiber, could contribute to the shaping of the microbiome towards a more proteolytic or fiber-degrading gut ecosystem.
ClinicalTrials.gov Identifier NCT04205045—01-10-2018, retrospectively registered.
Dutch Trial Register NTR7531—05-10-2018.