bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERMODELAN REGRESI NONPARAMETRIK SPLINE TERHADAP INFLASI DI PROVINSI KALIMANTAN SELATAN
Authors: Setiawan Geofani , Farid Fuad Muhajirin , Salam Nur 
Published: September 2023

Inflation is a condition of increasing prices continuously for a certain time. One of the factors thought to influence inflation, namely the Consumer Price Index (CPI), the Consumer Price Index (CPI) is an indicator that can be said to be important in determining the level of economic stability of a country. Seeing the relationship between the Consumer Price Index (CPI) and inflation, this study aims to explain how the influence and how the best model of the Consumer Price Index (CPI) on inflation in South Kalimantan Province uses Spline Nonparametric Regression. The use of the Spline Nonparametric Regression method in this study is because the data used has significant fluctuations so that it is estimated that the data is not normal. In the process, the Spline Nonparamteric Regression method is used to obtain the estimated regression curve through a data fitting approach. This method is also very suitable for use with data that changes frequently, spline is a model that has statistical, visual interpretation and has the ability to be generalized to complex and complex statistical models. The result of this research is that the best model is found at one knot point and the Consumer Price Index (CPI) has an effect on the inflation variable by 13.23 percent.Keywords: Inflation, Consumer Price Index, Spline Nonparametric Regression
MODEL REGRESI MULTIVARIAT UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMENGARUHI KESEJAHTERAAN KABUPATEN/KOTA DI KALIMANTAN SELATAN
Authors: Urrahmah Syifa , Farid Fuad Muhajirin , Maisarah Maisarah 
Published: September 2023

The purpose of a region to carry out development is to realize prosperity. In measuring a welfare is the coverage of APBD funds such as Local Own Revenue and others that can be influenced. The analysis that can be used in research is multivariate regression. The purpose of the research is to find out what factors affect welfare in South Kalimantan in 2018-2020. Based on the analysis, the multivariate regression model has two factors that are thought to influence PAD and PDRB, namely personnel spending and special allocation funds with modeling with goodness-of-fit testing it can be explained that the relationship between variables is 76.51%. Keywords: Welfare. PAD, PDRB, Personnel Expenditures, Multivariate
Periodical Ultramodulation of Broadened Laser Spectra in Diamond at Variable Ultrashort Laser Pulsewidths: Ultrafast Plasma, Plasmonic and Phonon Effects
Authors: Kudryashov Sergey , Danilov Pavel , Smirnov Nikita , Gorevoy Alexey , Kovalov Volodymyr 
Published: September 2023

Self-phase modulation (SPM) broadening of laser spectra was studied in a transmission mode in natural and synthetic diamonds at variable laser wavelengths (515 and 1030 nm), pulse energies and widths (0.3 - 12 ps, positively chirped pulses), providing their filamentary propagation. Besides the monotonous SPM broadening of the laser spectra versus pulse energy, more pronounced for the (sub)picosecond pulsewiths and more doped natural diamond, periodical low-frequency modulation was observed in the spectra at the shorter laser pulsewidths, indicating dynamic Bragg filtering of the supercontinuum due to ultrafast plasma and nanoplasmonic effects. Damping of broadening and ultramodulation for the longer picosecond pulsewidths was related to thermalized electron-hole plasma regime established for the laser pulsewidths longer, than 2 ps. Unexpectedly, at higher pulse energies and corresponding longer microfilaments, the number of spectral modulation features increases, indicating dynamic variation of the periods in the longitudinal plasma Bragg gratings along the filaments due to prompt secondary laser-plasmon interactions.
Surgical Reattachment of Rare Proximal Adductor Avulsion Injury in a Female Athlete
Authors: Chang Alex , Zoland Mark , Bharam Srino 
Published: September 2023

Case:
A 54-year-old female professional equestrian sustained a traumatic right groin injury with disabling groin pain. Magnetic resonance images indicated a proximal adductor avulsion injury with a 3.2-cm tendon retraction. Surgical reattachment of the fibrocartilage avulsion with suture anchor repair was subsequently performed.

Conclusion:
Adductor avulsion injuries have been rarely reported in female athletes. Patient-reported outcomes demonstrate a successful return to preinjury levels of daily function and sports performance after surgery for a female athlete. Surgical reattachment should be considered for the management of proximal adductor avulsion injuries in elite female athletes.
Surgical Decompression for Acute Axillary and Suprascapular Neuropathy
Authors: Wilson Seth B. , Wagner Daniel , Cvetanovich Gregory , Rauck Ryan C. 
Published: September 2023

Case:
We present the case of a 25-year-old man, who sustained a ground level fall and presented with a left shoulder inferior labral tear with paralabral cyst and associated axillary nerve compression. He had electromyogram evidence of axillary and suprascapular nerve compression. Surgical decompression of the cyst, repair of the labrum, and suprascapular notch decompression relieved his previously progressive symptoms.

Conclusion:
This case demonstrates that individuals who have a paralabral cyst with acute, severe axillary neuropathy and suprascapular neuropathy can benefit from decompression of the paralabral cyst, repair of the labrum, and decompression of the suprascapular notch.
Persistence of Atypical Femoral Fracture 14 Years After Initial Diagnosis
Authors: Gerber Brett A. , Gibbons Kester , Egol Kenneth 
Published: September 2023

Case:
A 75-year-old woman presented with left thigh pain 14 years after initial diagnosis of bilateral atypical femoral fractures secondary to chronic bisphosphonate use. New radiographic imaging and magnetic resonance imaging demonstrated bilateral incomplete femur fractures with surrounding marrow edema, cortical remodeling, and periosteal edema in a manner similar to that found 14 years earlier upon original diagnosis.

Conclusion:
Recurrence of pain 14 years after initial diagnosis supports consideration of initial surgical management of atypical femur fractures (AFFs), even in patients with nonoperative symptom improvement. Patients who decline surgical intervention should be informed that incomplete AFFs may become a chronic medical condition moving forward.
Novel custom-made design and analysis of hydrogen PEM fuel cell for high endurance small UAV applications
Authors: Prajapati Soham , Thakar Parth S. , Markana Anilkumar 
Published: September 2023

Abstract
The purpose of this paper is to propose a new methodology to devise a custom-made hydrogen-based proton exchange membrane fuel cell (\textcolor{red}{PEMFC}) system for a class of experimental fixed-wing small unmanned aerial vehicles (SUAVs). The proposed fuel cell provides three times higher flight endurance than the conventional battery-based powertrain. The chosen SUAV \textcolor{red}{represents} a class of high-altitude UAVs, having an operational altitude of 4500m \textcolor{red}{(14,760ft)}, cruising speed of 12-20 m/s (39.4 - 65.6 ft/s), take-off weight of 4 kg, wing-span of 1.61 m (5.28 ft) and battery-powered flight endurance of one hour. The characteristic parameters and design configurations of the fuel cell are determined by employing \textcolor{red}{the first} principles of electrochemistry and thermodynamics. Corresponding simulations are performed \textcolor{red}{using} popular development tools like MATLAB/Simulink. The vital results in the form of – polarization and power curves for fuel cell, against the current density are obtained, which are further narrowed down to meet the target power requirements for determining the size of the hydrogen storage tank. The paper also comments on the auxiliary systems and fuel cell powertrain for SUAVs. \textcolor{red}{Finally, the design efficiency of 54% for the fuel cell is achieved with respect to equivalent voltage for heating value with the calculated hydrogen storage tank size of 5.688 litres. This yields three times higher flight endurance as compared to the flight time found in literature for the same class of SUAVs. }
Wafer Defect Identification with Optimal Hyper-Parameter Tuning of Support Vector Machine using the Deep Feature of ResNet 101
Authors: Dash Shishir Prasad , Amat Rajat , Sethy Prabira , Behera Santi Kumari 
Published: September 2023

Abstract
As semiconductor processing technologies continue to advance, semiconductor wafers are becoming more densely packed and intricate, resulting in a higher incidence of surface imperfections. Therefore, it is crucial to detect these defects early and accurately classify them to pinpoint the root causes of the defects in the manufacturing process, ultimately leading to improved yield. Therefore, defect detection is critical in the industrial production of monocrystalline silicon. This study employs deep learning techniques to propose a framework for detecting defects on silicon wafers, focusing on optimizing the hyperparameters of support vector machines (SVM). Three methods were utilized to fine-tune the SVM parameters: Bayesian optimization, grid search, and random search techniques. This study demonstrates how selecting optimal values for SVM parameters can lead to better classification. Additionally, real manufacturing data were utilized to evaluate the performance of the proposed SVM classifier, with a comparison to state-of-the-art techniques in the field. By using deep features from ResNet 101 and a support vector machine, this work achieves 74.5% accuracy in identifying wafer defects without employing any optimization technique. However, the performance of the model was further improved by utilizing the random search optimization technique, which yielded the best result among the three optimization techniques tested, with an accuracy of 88.1%.
CBLL1 is hypomethylated and correlates with cortical thickness in transgender men before gender affirming hormone treatment
Authors: Fernández Rosa , Zubiaurre-Elorza Leire , Ojeda Natalia , Collet Sarah , Kiyar Meltem , T’Sjoen Guy , Mueller Sven C. , Guillamon Antonio , Pásaro Eduardo , Santisteban Andrea 
Published: September 2023

Abstract
Background:Gender identity refers to the consciousness of being a man, a woman or other condition. Generally, it is congruent with the sex assigned at birth; however, for some people, it is not. If the incongruity is distressing, it is defined as gender dysphoria (GD). Here, we measured whole-genome DNA methylation by the Illumina Infinium Human Methylation 850 array and report its correlation with cortical thickness (CTh) in 22 transgender men (TM) experiencing GD versus 25 cisgender men (CM) and 28 cisgender women (CW).
Results: With respect to the methylation analysis, TM vs.CW showed significant differences in methylation in 35 CpG sites, while 2,155 CpG sites were found when TM and CM were compared. With respect to correlation analysis, TM showed differences in the methylation degree of CBLL1 and DLG1 genes that correlated with global and left hemisphere CTh. Both genes were hypomethylated in TM compared to the cisgender groups. These genes are involved in neuronal myelination and CBLL1modulates alpha estrogen receptor transactivation through competitive interference with the estrogen receptor coactivators SRC1 and SRC2. Early onset TM showed a positive correlation between CBLL1and several cortical regions. Methylation of CBLL1 positively correlated with CTh in the frontal (left caudal middle frontal), temporal (right inferior temporal, left fusiform) and parietal cortices (left supramarginal and right paracentral).
Conclusions: This is the first study relating CBLL1 methylation with CTh in transgender persons and supports a neurodevelopmental hypothesis of gender identity.
Incidence of dislocation and associated risk factors in patients with a femoral neck fracture operated with an uncemented hemiarthroplasty
Authors: Olesen Britt Aaen , Närhi Susanne Faurholt , Jensen Thomas Giver , Overgaard Søren , Palm Henrik , Sørensen Michala Skovlund 
Published: September 2023

Abstract
Background
Several factors might be associated with risk of dislocating following uncemented hemiarthroplasty (HA) due to femoral neck fracture (FNF). Current evidence is limited with great variance in reported incidence of dislocation (1-15%).
Aim of this study was to identify the cumulative incidence of first-time dislocation following HA and to identify the associated risk factors.
Methods
We performed a retrospective cohort study of patients receiving an HA (BFX Biomet stem, posterior approach) at Copenhagen University Hospital, Bispebjerg, in 2010-2016. Patients were followed until death or end of study (dec 2018). Dislocation was identified by code extraction from the Danish National Patient Registry.
Variables included in the multivariate model was defined pre-analysis to include: age, sex and variables with a p-value <0.1 in univariate analysis. A regression model was fitted for 90 days dislocation as the assumption of proportional hazard rate (HR) was not met here after.
Results
We identified 772 stems and 58 stems suffered 90 dislocations during the observation period resulting in a 7% (CI 5-9) incidence of dislocation 90 days after index surgery. 55 of the 58 stems (95%) experienced the first dislocation within 90 days after surgery.
Only absence of dementia was identified as an independent protective factor in the cause-specific model (HR 0.46 (CI 0.23-0.89)) resulting in a 2.4-fold cumulative risk of experiencing a dislocation in case of dementia. Several other variables such as age, sex, various medical conditions, surgery delay and surgical experience were eliminated as statistical risk factors.
We found a decrease in survival probability for patients who experienced a dislocation during follow-up.
Conclusions
The incidence of first-time dislocation of HA (BFX Biomet stem, posterior approach) in patients with a hip fracture is found to be 7% 90 days after surgery. Due to the non-existing attribution bias, we claim it to be the true incidence. Dementia was among several variables identified as the only risk factor for dislocation.
In perspective, we may consider treating patients with cognitive impairment by other methods than HA.
The Study of Ketamine for Youth Depression (SKY-D): study protocol for a randomised controlled trial of low-dose ketamine for young people with major depressive disorder
Authors: Schwartz Orli , Amminger Paul , Baune Bernard T , Bedi Gillinder , Berk Michael , Cotton Sue M. , Daglas-Georgiou Rothanthi , Glozier Nick , Harrison Ben , Hermens Daniel F. , Jennings Emma , Lagopoulos Jim , Loo Colleen , Mallawaarachchi Sumudu , Martin Donel , Phelan Bethany , Read Nikki , Rodgers Anthony , Schmaal Lianne , Somogyi Andrew A. , Thurston Lily , Weller Amber , Davey Christopher G. 
Published: September 2023

Abstract
Background: Existing treatments for young people with severe depression have limited effectiveness. The aim of the Study of Ketamine for Youth Depression (SKY-D) trial is to determine whether a 4-week course of low-dose subcutaneous ketamine is an effective adjunct to treatment-as-usual in young people with major depressive disorder (MDD).
Methods: SKY-D is a double-masked, randomised controlled trial funded by the Australian Government’s National Health and Medical Research Council (NHMRC). Participants aged between 16 to 25 years (inclusive) with moderate-to-severe MDD will be randomised to receive either low-dose ketamine (intervention) or midazolam (active control) via subcutaneous injection once per week for four weeks. The primary outcome is change in depressive symptoms on the Montgomery-Åsberg Depression Rating Scale (MADRS) after four weeks of treatment. Further follow-up assessment will occur at 8 and 26 weeks from treatment commencement to determine whether treatment effects are sustained and to investigate safety outcomes.
Discussion: Results from this trial will be important in determining whether low-dose subcutaneous ketamine is an effective treatment for young people with moderate-to-severe MDD. This will be the largest randomised trial to investigate the effects of ketamine to treat depression in young people.
Trial registration: Australian and New Zealand Clinical Trials Registry ID: ACTRN12619000683134. Registered on May 7, 2019. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377513
Effect of heavy metal-sulfamethoxazole complexes on the sulfanilamide resistance gene sul1
Authors: Zhu Xianyi , Yang Yuezhu , Liu Lu , Gu Jing , Yang Guojun , Li Zhangliang , Wang Hua 
Published: September 2023

Abstract

Both heavy metals and antibiotics in the environment might be affecting the environmental behaviour of antibiotic resistance gene (ARGs). However, little attention has been paid to the effect of heavy metal-antibiotic complexes on the performance of ARGs. Therefore, in the present work, four heavy metals (Cu, Zn, Pb, Cd) and sulfamethoxazole (SMX) were selected as candidates to explore the effect of heavy metal-SMX complexes on the sulfanilamide resistance gene sul1. The results showed that Pb could inhibit the amplification of sul1, but Zn could stimulate it, as well as Cu and Cd stimulated the amplification of sul1 at low concentrations but inhibited at high concentrations (> 0.50 mg/L). Meanwhile, SMX could stimulate the amplification of sul1at high concentrations. Most importantly, it was discovered for the first time that the complexes of SMX with Pb, Zn, Cu, and Cd showed positive effects on the amplification of sul1 at ratios of 1:1, 1:1, 2:1, and 1:2, respectively, and the positive effects of the four complexes on sul1 were consistently higher than that of SMX or any of the heavy metals alone. These results reveal that heavy metal-antibiotic complexes could affect the existence and distribution of ARGs.
High-solution emission characters and health risks of volatile organic compounds for sprayers in automobile repair industries
Authors: Du Zhanxia , Li Hanbing , Nie Lei , Yao Zhen , Zhang Xinmin , Liu Yuting , Chen Sha 
Published: September 2023

Abstract
The increasing automobile repair industries (ARIs) with spray facilities have become an important volatile organic compounds (VOCs) pollution source in China. However, the VOCs health risk assessment for long-term exposure in ARIs have not been well characterized. In this study, though sampled VOCs from 51 typical ARIs in Beijing, the relationship between emission patterns, average daily exposure concentrations (EC) and health risks were comprehensively analyzed with the health assessment method for spray operators, and the studies consider the health effects of the sprayers for five processes due to the difference in raw materials. Results showed that oxygen VOCs (OVOCs) and aromatics were the main VOCs components in solvent-based and water-based workshops, respectively. And ARIs operator's daily VOCs inhalation EC was 11.24-1460.70 µg·m− 3. The method of inhalation exposure health risk assessment was firstly used to evaluate carcinogenicity and non-carcinogenicity risk for sprayers in ARIs. The cumulative lifetime carcinogenic risk (LCR) for 24 sampled VOCs were within acceptable ranges, while the mean hazard index (HI) with 44 sampled VOCs was over 1. Among them, the LCR and HI of VOCs in solvent-based spraying workshops were 8.72E-12 to 5.66E-7 and 0.13 to 22.37, and ethanol had a high carcinogenic risk. Of these, the mean HI associated with aromatics were 6.45 to 9.64. Our study will provide the important references for the standard of VOCs occupational exposure health limits in ARIs.
Improved hydrolysis of sewage sludge by air-assisted non-thermal plasma for enhanced biomethane recovery
Authors: Vanegas Gerardo Oswaldo Ortiz , Kim Hyun-Woo 
Published: September 2023

Abstract
To resolve the slow hydrolysis of sewage sludge, various pre-treatment technologies have been assessed but high operating costs prevent active application. To mitigate the cost-effectiveness of pre-treatment and to promote anaerobic digestion (AD), this study investigates non-thermal plasma (NTP) technologies as an alternative. Experimental design under various contact time (CT) and temperature (T) conditions tests how NTP pre-treatment improves the methane conversion of organics in sewage sludge. By building a multi-response surface model (RSM) using a central composite design (CCD), optimal CT and T were revealed as 4.6 h and 45°C, respectively. This statistical optimization of NTP pre-treatment led to enhanced biochemical methane potential of 297 ± 46 mL CH4/g COD keeping the cost due to power consumption as low as 0.06 US$/L, which is comparable to those of other advanced oxidation processes (0.11 ~ 0.44 US$/L). The results demonstrate that accelerated hydrolysis of sewage sludge using non-thermal plasma pre-treatment might benefit better renewable energy recovery from sewage sludge.
Feasibility Analysis of Arterial CT Radiomics Model to Predict the Risk of Local and Metastatic Recurrence after Radical Cystectomy for Bladder Cancer
Authors: LV Huawang , Zhou Xiaozhou , Liu Yuan , Liu Yuting , Chen Zhiwen 
Published: September 2023

Abstract
Purpose
To construct a radiomics-clinical nomogram model for predicting the risk of local and metastatic recurrence within 3 years after radical cystectomy (RC) of bladder cancer (BCa) based on the radiomic features and important clinical risk factors for arterial computed tomography (CT) images and to evaluate its efficacy.
Methods
Preoperative CT datasets of 134 BCa patients (24 recurrent) who underwent RC were collected and divided into training (n = 93) and validation sets (n = 41). Radiomics features were extracted from a 1.5 mm CT layer thickness image in the arterial phase. A radiomics score (Rad-Score) model was constructed using the recursive feature elimination approach and a logistic regression model. Combined with important clinical factors, including gender, age, tumor size, tumor number and grade, pathologic T stage, lymph node stage and histology type of the archived lesion, and CT image signs, a radiomics-clinical nomogram was developed, and its performance was evaluated in the training and validation sets. Decision curve analyses (DCA) the potential clinical usefulness.
Results
The radiomics feature, consisting of five recurrence-related features, achieved good predictive results. The radiomics nomogram developed by combining two independent predictors, Rad-Score and pathologic T stage, was developed in the training set [AUC, 0.840; 95% confidence interval (CI), 0.743–0.937] and validation set (AUC, 0.883; 95% CI, 0.777–0.989). The calibration curve showed good agreement between the predicted probability of the radiomics-clinical model and the actual recurrence rate within 3 years after radical cystectomy for BCa. DCA show the clinical application value of the radiomics clinical model.
Conclusion
The radiomics clinical nomogram model constructed based on the radiomics features of arterial CT images and important clinical risk factors is potentially feasible for predicting the risk of recurrence within 3 years after RC for BCa.