bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recurrent osteomyelitis in patient of osteopetrosis: A rare case report and management
Authors: Lahoti Amol Ramkishan , Shah Kanchan Milind , Landge Jayant , Ubale Nilesh , Fruitwala Asma 
Published: September 2023

: Osteopetrosis is a rare heritable disease. It sometimes presents as incidental finding with no symptoms to even life threatening complications. It may present as multiple fractures, compressive neuropathies, hypocalcaemia, and life-threatening pancytopaenia. In this article, A 15 years old female reported for evaluation and treatment of pain and pus discharge in the left side of mandible since 1 year after the extraction multiple deciduous tooth. pus discharge in the left side of mandible with draining fistula. Intraoral examination revealed exposed necrotic bone in mentioned region. : osteopetrosis of mandible may develop osteomyelitis. The osteomyelitis is usually due to tooth extraction or pulpal necrosis. However, its treatment is controversial.: Treatment regimens include high-dose systemic antibiotics along with thorough debridement of necrotic bone and primary closure of soft tissues & may require Hyperbaric oxygen.
Evaluation of Y Chromosome Microdeletion and Chromosome Analysis Results in Infertile Male Patients
Authors: YAVAŞ Cüneyd , DOĞAN Mustafa , ERÖZ Recep , CANAT Halil Lütfi 
Published: September 2023

Objective: Genetic testing for male infertility is rarely performed in our country. Male infertility is caused by chromosome number or structural problems, Y chromosome deletions and gene alterations. Infertility is a problem seen in 15% of couples. Genetic causes are responsible for the etiology of 3-10% of those diagnosed with male infertility due to oligozoospermia and azoospermia. In this retrospective study, we aimed to determine both the chromosomal structure and the microdeletion of the azoospermic factor (AZF) region on the Y chromosome in infertile men admitted to our center before the application of assisted reproductive techniques.
Method: We studied 327 patients who applied to our laboratory for routine analysis. Chromosome analysis was performed from peripheral blood by conventional cytogenetic method. DNA was isolated from peripheral blood and Y chromosome microdeletion was analyzed by fragment analysis method with Y chromosome microdeletion detection kit.
Results: Out of 327 patients, 32 had cytogenetic and 18 had molecular abnormalities and 4 had both cytogenetic and molecular abnormalities. Numerical and structural anomalies were detected in patients with anomalous karyotype. Among the patients with Y microdeletions, 1 patient had AZFa, 2 patient had AZFb, 6 patients had AZFc, 3 patients had AZFc+d, 2 patients had AZFb+c+d, 1 patient had AZFb+c+sY160, 1 patient had AZFa+b+d+c+sY90, and 2 patient had AZFb+d+c+sY90.
Conclusion: Our study shows that chromosomal abnormalities and Y chromosome microdeletions are important causes of male infertility and that chromosome analysis and Y chromosome microdeletion tests should be performed to explain these abnormalities. It also emphasizes the importance of genetic counseling in explaining male infertility.
PENERAPAN METODE HYBRID ARIMA-ANN UNTUK MEMPREDIKSI HARGA SAHAM PT. BNI (PERSERO) TBK
Authors: Amrullah Ahmad , Soesanto Oni , Maisarah Maisarah 
Published: September 2023

Stock price is the stock price that occurs in the stock market at a certain time determined by market participants. Stock prices fluctuate up and down from time to time, most investors only use instinct to predict stock prices. Therefore, it is necessary to analyze the time series to predict stock prices. One of the models in time series is ARIMA. However, the ARIMA model has the disadvantage of only being able to follow a linear time sequence pattern. to address these weaknesses, ANN models are used that can follow nonlinear patterns. This is the ARIMA-ANN hybrid. The purpose of this study is to identify the model and determine the accuracy of the Arima-ANN hybrid model and predict the stock price in the next period. The Data used is secondary data from the site investing.com. determination of ARIMA model is done by dividing the data into training data and testing data. The results obtained by the best ARIMA model is ARIMA (2,1,2) with MAPE 1.468% of the training data. With the best ARIMA model, obtained residuals for ANN input. The result obtained is the best network architecture 5-10-1 learning rate 0.3 with the smallest error value. From the test results of the hybrid model ARIMA-ANN to the testing data obtained MAPE value of 7.024%. Then the prediction for the next 25 days obtained an average of 7915 rupiah per day and MAPE 6.349%.Keywords: Hybrid ARIMA-ANN, Predictions, Stock
PETA KENDALI MULTIVARIAT np
Authors: Irma Irma , Anggraini Dewi , Farid Fuad Muhajirin 
Published: September 2023

In general, a production process requires the control of multiple quality characteristics (variables). Multivariate control charts can be used to control many quality attributes and identify the root cause of an out-of-control condition or signal. It was used in the production of Hexagon Bolt M16x75mm. However, research regarding the theory of multivariate control charts remains limited. The np multivariate control chart is obtained by combining the processes of parameter estimate, control limit determination, and out-of-control signal detection. Keywords: Control Charts, Multivariate np, Out of Conrol Signal.
DETERMINAN KEJADIAN KISTA OVARIUM PADA WANITA USIA SUBUR DI KABUPATEN BALANGAN MENGGUNAKAN REGRESI LOGISTIK BINER
Authors: Arinda Dhea , Anggraini Dewi , Noor Meitria Syahadatina 
Published: September 2023

Ovarian cysts are the most common gynecologic cases of many gynecologic cancers. Ovarian cyst is a disease that causes many deaths. This high mortality rate is due to the fact that the disease is initially asymptomatic and only causes complaints when metastases have occurred so that 60-70% of patients come at an advanced stage. Based on the results of the 2007 Basic Health Research survey, the number of patients with ovarian cysts in South Kalimantan was 1,2% of 56 respondents. This study took a case study in a district in South Kalimantan, namely Balangan Regency with the aim of explaining the characteristics of the distribution of ovarian cysts and the factors that influence the incidence of ovarian cysts in women of childbearing age in Balangan Regency using binary logistic regression method. Based on descriptive statistical analysis, it was found that the distribution characteristics of ovarian cyst sufferers were from 59 people who had checked for cyst symptoms at Balangan Hospital, 46 people were known to have cysts, while 13 people were not known to have cysts. Based on binary logistic regression analysis, the factors that influence the incidence of ovarian cysts for data on the incidence of ovarian cysts in Balangan Hospital are parity and employment status, while the age factor has no significant effect. Using the Odss Ratio (OR) parity value, patients with nulliparous status had a 0,033 higher risk of developing ovarian cysts than patients with multiparous status. using the OR value of the occupational status patients who had a job had a 0,014 higher risk of developing ovarian cysts than patients who did not have a job. Keywords: Ovarian cysts, Logistic binary, Odds Ratio.
KEHIDUPAN SOSIAL MASYARAKAT PASCA PANDEMI COVID-19 DI DESA HATUNGUN KECAMATAN HATUNGUN KABUPATEN TAPIN
Authors: Oktaviani Kurnia , Farid Fuad Muhajirin , Shaddiq Syahrial 
Published: September 2023

COVID-19 is a virus that can be transmitted to everyone caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The World Health Organization (WHO) has officially declared COVID-19 a pandemic because the spread of this virus is very fast. The COVID-19 pandemic itself has been going on for more than 2 years and has had a real impact on the people of Indonesia. The three main impacts that are felt by the community are social interaction between communities, community economic activities and people's lifestyles. This study aims to find out and understand social interaction between communities, community economic activities and the lifestyle of the people in Hatungun Village during the post-COVID-19 pandemic. Data collection techniques used in this study using observation, interviews and documentation. The data analysis itself uses qualitative descriptive statistics. The results obtained state that there are no obstacles in social interaction between communities during the post-COVID-19 pandemic, in economic activity there are constraints that are still being felt today as a result of the paralysis of various sectors, especially in the economic sector which causes the price of basic commodities to increase while income decreases and spending online there is nothing to change a person's lifestyle if the person is wise in reacting to it.Keywords: Social Society, COVID-19 Pandemic, Tapin District.
METODE REGRESI GULUD UNTUK MENGATASI MASALAH MULTIKOLINEARITAS PADA KASUS INDEKS KUALITAS LINGKUNGAN HIDUP DI INDONESIA TAHUN 2021
Authors: Habibah Awwaliatul , Farid Fuad Muhajirin , Annisa Selvi 
Published: September 2023

The environmental quality index is an indicator of environmental quality in Indonesia. EQI shows an increasing trend from 2018 to 2022, although Indonesia's environmental quality is ranked 116 out of 180 countries in the world. Therefore, the purpose of this study is to describe the characteristics of the EQI and the factors that can affect EQI, estimate the parameters of the ridge regression model and test the significance of the ridge regression model parameters to overcome the multicollinearity problem in the EQI case. This study uses 4 independent variables, namely population density, traffic, waste, and sanitation in Indonesia in 2021 as secondary data. In this study, ridge regression analysis is used because there is an almost linear relationship between the factors that are thought to affect the EQI. Ridge Regression is a technique that imposes limits (penalties) on parameter estimates in the regression model so that a reduction in the estimated coefficient value can overcome the multicollinearity problem. The results show that the optimal lambda value is 4.737078 when using the 5-fold cross-validation method. Variables that partially affect EQI are population density, waste, and environmental sanitation. The independent variables in this study that can explain the variability of EQI in Indonesia in 2021 is 59.52%, while 40.48% is explained by other variables that are not included in the model. Indonesia's EQI score in 2021 is 71.45 with the predicate "Good". Keywords: Environmental Quality Index, Ridge Regression, Cross Validation.
ANALISIS PENGARUH PEMBELAJARAN DARING TERHADAP PRESTASI BELAJAR SISWA DIMASA PANDEMI COVID-19 MENGGUNAKAN MODEL REGRESI BERGANDA (STUDI KASUS DI SMPN 33 BANJARMASIN)
Authors: Widodo Muhammad Yusril , Salam Nur , Lestia Aprida Siska 
Published: September 2023

The impact of the Covid-19 pandemic that occurred from 2019-2021 has had an impact on many sectors, one of which is the education sector. With this pandemic, learning takes place online which is possible for junior high school students is not an effective thing so that it has an impact on the final grades of student learning. This study aims to estimate the parameters of the multiple linear regression model formed in the analysis of the effect of online learning on student achievement at SMPN 33 Banjarmasin during the Covid-19 pandemic, and to explain the factors that significantly influence student achievement at SMPN 33 Banjarmasin during the pandemic. Covid-19. This study uses the independent variables of learning media and teacher teaching methods while the dependent variable uses student achievement. The population of this research is students at SMPN 33 Banjarmasin with a total sample of 120 respondents. Analysis was performed using multiple linear regression analysis. The results of the study showed that there was a significant influence between learning media and teacher teaching methods on student achievement at SMPN 33 Banjarmasin during the Covid-19 pandemic. Other results are shown based on testing the hypothesis that the variable that has the most influence is the teacher's teaching method variable. The teacher's teaching method variable (X2) has the largest relative contribution compared to the learning media variable (X1). Keywords: Online Learning, Learning Achievement, Multiple Linear Regression
Preparation and Application of a Fast, Naked-Eye, Highly Selective and Sensitive Fluorescent Probe of Schiff Base for Detection of Cu2+
Authors: Liu Juan , Cheng Peng-Yu , Wu Qi , Chen Sai , Wang Meng , Wei Kai , Li Yuan , Cao Yao-Yao , Liang Xi-Yao , Zeng Xin , Wang Xing , Li Hong-Lei 
Published: September 2023

A fluorescent probe, N&#039;-((3-methyl-5-oxo-1-phenyl-4, 5-dihydro-1H-pyrazol-4-yl) methylene)-2-oxo-2H-chromene-3-carbohydrazide (MPMC), was synthesized and characterized. Characterizations of the synthetic MPMC were conducted by proton nuclear magnetic resonance (1HNMR) spectroscopy and carbon-13 nuclear magnetic resonance spectroscopy (13C NMR). The fluorescence emission behaviors of probe MPMC towards diverse metal ions were detected and the probe exhibited high sensitivity and selectivity towards Cu2+ over other metal ions via quenching of its fluorescence. Furthermore, the existence of other metal actions made no difference on the fluorescence intensity of the MPMC-Cu2+ system apparently, that is, MPMC displayed a good anti-interference ability. Job’s plot of MPMC and copper ions indicated the detection limit was 15.16 nM (R2=0.9612) for the assayed actions, with a stoichiometric ratio of 1:1 for MPMC and Cu2+. Additionally, the color of MPMC probe solution changed from nearly colorless to yellow in the presence of Cu2+ in visible light, which the color change could be observed by the naked eye. Similarly, the color resolved bright yellow into blue in ultraviolet light. Also reusability studies indicated that MPMC probe was reusable. The pH effect of probe MPMC to Cu2+ had a broad range of pH detection 4.0 to 11.0. The response time of MPMC probe for determining Cu2+ was within 1 min. The recognition of Cu2+ by MPMC performed on pre-treated paper under sunlight and UV light both had a distinct colour change. Thus, the solid-state method for detecting Cu2+ with the naked-eye, was both economical and convenient.
Genicular Artery Embolization for Knee Osteoarthritis
Authors: Poursalehian Mohammad , Bhia Iman , Ayati Firoozabadi Mohammad , Mortazavi Seyed Mohammad Javad 
Published: September 2023

» Genicular artery embolization (GAE) is a promising treatment option for patients with knee osteoarthritis who are unresponsive to nonsurgical treatments and not yet candidates for surgery.» Current evidence supports the effectiveness of GAE in reducing pain and synovitis, with few reported major adverse events.» The cost-effectiveness and long-term results of GAE compared with other treatment options require further investigation.» Limitations of existing studies include small sample sizes, single-center trials, and lack of comparison between embolic agents and other treatments.» Future research should focus on larger, multicenter trials with longer follow-up periods and head-to-head comparisons with alternative treatment modalities to establish the role of GAE in the management of knee osteoarthritis.
Simple modeling of Alzheimer’s disease using human pluripotent stem cell-derived cerebral organoid technology
Authors: Choe Mu Seog , Yeo Han Cheol , Kim Joong Sun , Lee Jean , Lee Hae Jun , Kim Hyung-Ryong , Baek Kyung Min , Jung Na-Yeon , Choi Murim , Lee Min Young 
Published: September 2023

Abstract
Background Cerebral organoids (COs) are the most advanced in vitromodels that resemble the human brain. Use of COs as a model for human Alzheimer’s disease (AD), among other brain diseases, has recently gained attention. This study aimed to develop a human AD CO model, using normal human pluripotent stem cells (hPSCs), that recapitulates the pathological phenotypes of AD and to determine the usefulness of this model for drug screening.
Methods We established AD hPSC lines from normal hPSCs by introducing genes with familial ADmutations and COs were generated using these hPSC lines. The pathological features of AD, including extensive amyloid-β (Aβ) accumulation,tauopathy, and neurodegeneration, were analyzed using enzyme-linked immunosorbent assay, Amylo-Glo staining, thioflavin-S staining, immunohistochemistry, Bielschowsky’s staining, and western blot analysis.
Results AD COs showed extensive accumulation of Aβ. The levels of paired helical filament (PHF)-tau and neurofibrillary tangle (NFT)-like silver deposits were highly increased in the AD COs. The number of cells immunoreactive for cleaved caspase-3 (cCASP3) was significantly increased in AD COs. Additionally, treatment of AD COs with BACE1 inhibitor IV (a β-secretase inhibitor) and compound E (a γ-secretase inhibitor) significantly attenuated AD pathological features.
Conclusion Our model recapitulates AD pathology effectively. Hence, it is a valuable platform for understanding the mechanisms underlying AD pathogenesis and can be used to test the efficacy of anti-AD drugs.
Protocol for a pilot cluster randomised controlled trial of a multicomponent sustainable return to work IGLOo intervention.
Authors: Davis Oliver , Dawson Jeremy , Degerdon Lizzie , Delgadillo Jaime , Kadam Umesh , Nielsen Karina , Sinclair Alice , Yarker Jo , Munir Fehmidah 
Published: September 2023

Abstract
Background
Long-term sickness costs UK businesses approximately £7 billion per annum. Most long-term sickness absences are attributed to common mental health conditions, which are also highly prevalent in people with acute or musculoskeletal health conditions. The IGLOo intervention aims to support employees return to and remain in work following long-term sickness absence. The intervention will be piloted in a randomised controlled trial (RCT) to examine the feasibility of the intervention (primary outcome), and to inform a fully powered definitive trial to evaluate sustainable return to work (RTW) in people with primary or secondary mental ill-health who go on long-term sick leave.
Methods and Design:
A two-arm feasibility randomised controlled trial (with a 30-month study period including 12 month follow up) of the IGLOo (Individual, Group, Leaders, Organisation, overarching context) intervention will be conducted in large organisations (≥ 600 employees) from the Yorkshire and Humberside regions, in the United Kingdom. Eight consenting organizations will be recruited and randomised to the intervention or control arms of the study (1:1 ratio), with a minimum recruitment target of 13 employees and 13 managers eligible to participate from each. Organisations assigned to the control group will continue with their usual practice. Feasibility data will include data collected on recruitment, retention and attrition of participants, completion of research outcome measures and intervention compliance. Measurements of mental health, RTW, work outcomes, quality-of-life, workplace support and communication and other demographic data will be taken at baseline, 3, 6, 9 and 12 months in all participants. Qualitative interviews and survey data will explore the experiences of participants, acceptability of the intervention components and evaluation measures. Exploratory economic evaluation will be conducted to further inform a definitive trial.
Discussion
The findings from this pilot study will help to inform the development of a definitive cluster RCT designed to examine the efficacy of this intervention on health and work-related outcomes in UK workers on long-term sick leave.
Trial Registration
ISRCTN11788559 (prospectively registered, date registered 6th October 2022)
Effectiveness of Fucus vesiculosus algae on the removal of Brilliant Cresyl Blue and Methylene Blue from aqueous solutions
Authors: Polanco-Gamboa Diego M. , Lima Eder C. , ABATAL MOHAMED , Vargas Joel , Alfono Ismeli , Aguilar Claudia , Anguebes-Franseschi Francisco 
Published: September 2023

Abstract
This paper aims to explore the uptake of two basic dyes (methylene blue (MB) and brilliant cresyl blue (BCB)) using the formaldehyde-treated algae Fucus vesiculosus (FV-FORMALD). The modified biomass was characterized by the point of zero-charge (pHpzc), scanning electron microscopy (SEM/EDS), and Fourier-transform infrared spectroscopy (FTIR) analysis before and after dye biosorption. The equilibrium data were best fitted with the Langmuir and Freundlich isotherms for MB and BCB, respectively. The maximum adsorption capacity (Qmax) of MB obtained by the Langmuir isotherm was 791 mg g− 1, whereas the maximum adsorption capacity of BCB obtained experimentally was 966 mg g− 1. Kinetics modeling shows that the adsorption of MB and BCB onto FV-FORMALD was well described by pseudo-second-order. The influence of the pH solution suggests that MB biosorption is increased at basic conditions (pH > 7), while for BCB biosorption, pH does not significantly influence it. The optimum temperatures for maximum adsorption capacity were 330.15 K and 300.15 K for MB and BCB, respectively. The optimum dosage of FV-FORMALD biomass for MB (2 g L− 1) and BCB biosorption (1 g L− 1) were studied. In addition, according to the results, the brown FV-FORMALD could be considered an appropriate waste biosorbent for removing cationic dyes due to its high effectiveness and an environmentally friendly and sustainable approach to water remediation.