bluuebunny/crossref_metadata_2025_split huggingface dataset:
Arresting Roadside Corruption: What Prospects Remain for Anglophone Cameroon
Authors: Ngwang Roger 
Published: November 2022

Introduction: Corruption is a canker warm that has eaten deep into the fabrics of several communities worldwide. The phenomenon has serious consequences on investment, trade, aid, inequality, government expenditure and services, just to name a few. In Cameroon, its effects are widespread in both Private and Public sectors including the education, justice, customs, taxation, finance, administration, military and police. Based on the Transparency International Corruption Perception Index, Cameroon was classified as the most corrupt country in the world in 1998 and 1999 and was ranked 149th out of 158 countries in 2020 following the implementation of several anti-corruption measures. This reveals that irrespective of the Cameroonian anti-corruption initiatives, high rates of corruption are still observed in the country. Roadside corruption is prevalent in Cameroon and is being orchestrated by both the police and other forces of the law and order. The practice is monotonous and considered a way of life by most Cameroonians. With the degeneration of the Anglophone crisis into violence, many troops of the forces of law and order have been deployed to Anglophone Cameroon to monitor and maintain security in this region.
Purpose: To investigate the implications of the heavy presence of uniform men on roadside corruption in Anglophone Cameroon.
Methodology: Secondary data was consulted and interviews were conducted with some road users in Bamenda.
Findings: Respondents revealed that roadside corruption was a major problem and that the uniform men took advantage of the crisis situation to compel them to pay fines without collecting receipts and equally extort money from them even in situations where they presented all their valid vehicle and personal identification papers. This has made many drivers to care less about the regularization of theira papers.
Unique Contribution to Practice and Policy: There is need to galvanize NGOs and civil societies to organize training programs and sensitization campaigns to inform road users on all vehicle documents, accessories, high way code and all the fines and procedures associated with defaults. The government should regulate and monitor the activities of patrol teams deployed in times of crisis and create several hotlines through which road users can call to report cases of road side corruption. Also, road users should be encouraged to regularize themselves with all necessary documents as requested by state regulations and to understand the high way code and all the procedures associated with the payment of fines in case of defaults.
The dynamics of food security policy in Cameroon (2008-2019)
Authors: Moudio Joel 
Published: November 2022

Purpose: This article intends to examine the improvement in fighting against food insecurity in Cameroon since February 2008, a period marked with so-called hunger riots. In response to this, and in order to reply satisfactorily to this social crisis and the security that predates it, the government set up, at the end of 2008, the national food security programme (NFSP). This programme, which is the site of our empirical investigation, has undergone some vicissitudes and a marked evolution up to now.
Methodology: Based on Using participant observation, non-reactive data collection techniques and socio-historical analysis, the article highlights the concept of the food security policy process, which does not escape the enlightening analytical framework of the advocacy coalition framework. It proposes, based on the analysis of the interpenetration of the NFSP by state and others institutional actors, to outline the contours of a category of negotiated and incremental food security policy process.
Findings: Therefore to improve the food security policy process, a social division of labour is needed between the decision-making centre – the Inter-ministerial Committee on Food Security (CISA) and the Steering Committee (COPIL) – and the technical expertise centre – the Technical Group on Food Security (GTSA).
Unique contribution to theory, practice and policy: The NFSP should play a more synthesizing role between these two centres in terms of the framework for the elaboration of the national food security policy strategy.
Penerapan Senam Hamil untuk Mengurangi Nyeri Punggung
Authors: Wilujeng Ayu Rosanti , Roza Nelli , Arianggara Andi Wilda , Margiyanti Norma Jeepi , Sari Desi Pramita , Tarigan Renny Adelia , Handayani Trisna Yuni , Velangi Sevia Naldi , Ritonga Tria Aprilda 
Published: November 2022

Nyeri pungung saat kehamilan mencapai puncak pada minggu ke-24 sampai dengan minggu ke-28, tepat sebelum pertumbuhan abdomen mencapai titik maksimum. Nyeri punggung pada ibu hamil dapat menyebabkan spasme pada otot yang menimbulkan rasa nyeri. Untuk mengurangi nyeri punggung bawah dan panggul terkait kehamilan dengan senam hamil di Posyandu Tanjung Uma. Pengabdian kepada masyarakat ini dilakukan di Wilayah Kerja Puskesmas Lubuk Baja, tepatnya di Posyandu Tanjung Uma, pada tanggal 4-25 April 2022. Sasaran pada pengabdian masyarakat ini adalah ibu hamil usia kehamilan 20 – 35 minggu dengan nyeri punggung bawah berjumlah 4 ibu hamil. Nyeri punggung yang dirasakan ibu hamil dapat berkurang secara bertahap selama 4 minggu dengan melakukan gerakan gerakan senam yang diajarkan oleh bidan. Senam hamil dapat menurunkan intensitas nyeri punggung dalam kehamilan.
Biokonversi Sampah Organik Melalui Maggot Sebagai Alternatif Pakan Ternak
Authors: Sitompul Hamela Sari , Maulina Intan 
Published: November 2022

Sampah merupakan masalah serius dan belum termanfaatkan secara maksimal. Oleh karena itu perlu dicarikan solusi agar sampah organik dapat diminimalisir serta menjadi lebih bernilai guna. Salah satu upaya yang bisa diterapkan adalah dengan biokonversi menggunakan Maggot (Black Soldier Fly/BSF). Larva BSF dengan kemampuannya sebagai pendegradasi sampah organik dimanfaatkan untuk mengkonversi materi organik sehingga memiliki potensi ekonomi.
Maggot (Hermetiaillucens Linnaeus) merupakan larva lalat black soldier yang memiliki tekstur kenyal, berprotein tinggi serta memiliki kemampuan untuk mengeluarkan enzim alami yang membantu meningkatkan sistem pencernaan ikan. Mulai dari maggot dewasa hingga menghasilkan telur, kemudian larvanya seperti pupa digunakan untuk bahan pakan sumber protein.

Dari keberlangsungan kegiatan Kedaireka ini yang merupakan hasil kerjasama antara perguruan tinggi dengan desa Pagar Merbau III menghasilkan produksi mandiri di masyarakat yaitu Maggot yang dapat meningkatkan penghasilan rumahan bagi masyarakat, memperoleh pengetahuan tentang pengolahan sampah organik dengan baik dan pemanfaatannya. Sebagian warga yang mempunyai ternak yang sebagian besar berupa Lele dan jenis ikan air tawar lainnya, masyarakat Desa Pagar Merbau Tiga sangat antusias dalam pelaksanaan pelatihan dan juga workshop ini ditambah dengan kegiatan penyaluran hasil nantinya yaitu pengelolaan e-commerce.
A machine learning approach for calibrating seismic interval velocity in 3D velocity model
Authors: Le Hong Quan , Tran Dong , Nguyen Van Tien , Nguyen Dac The 
Published: November 2022

Velocity model technique is routinely used to convert data from the time-to-depth domain to support prospect evaluation, reservoir modelling, well engineering, and further drilling operation. In Vietnam, the conventional velocity model building workflow oversimplifies the interval velocities as only well interval velocities are populated into 2D grids for depth conversion or oversimplified calibration interval velocities by applying a single scaling factor function. This study explores the 3D velocity model workflow to obtain accurate and high-resolution interval velocities using a machine learning approach for both fields A and B in Cuu Long basin, offshore Vietnam.
To design an effective approach to depth conversion, the anisotropy factor analysis was performed to understand the differences between the seismic and well interval velocities in geological layer in the 3D structural model. The seismic interval velocity was multiplied by the anisotropy factor to achieve the scaling seismic interval velocity. The scaling seismic interval velocity, elastic attributes, geometric attributes, structural and stratigraphic attributes were used as training features (variables) for predicting interval velocity using the supervised learning algorithm in the machine learning model. Supervised learning offers an opportunity to develop an expert-knowledge-based automated system, which incorporates both domain knowledge and quantitative data mining [1]. The random forest regression algorithms were selected for predicting interval velocity after evaluating several machine learning algorithms. To provide insight into the uncertainty of final interval velocity, a depth uncertainty analysis was conducted using a blind well test for 24 wells and 7 horizons.
The comprehensive 3D velocity model using machine learning approach was built for the first time in Cuu Long basin, offshore Vietnam. The result showed the machine learning algorithm can address the disadvantages of conventional velocity calibration to create highly accurate depth representations of the subsurface including a measure of the uncertainty.
Application of gas-assisted gravity drainage (GAGD) to improve oil recovery of Rang Dong basement reservoir
Authors: Nguyen Kien Trung , Ha Minh Dung 
Published: November 2022

As an option to improve the ultimate oil recovery factor of the Rang Dong field, a feasibility study of gas-assisted gravity drainage (GAGD) application was carried out for the fractured basement reservoir with a single-well Huff ‘n’ Puff pilot test applied on a high water-cut producer. This paper aims to provide an in-depth understanding about such case study, which includes details on candidate selection, gas injection scheme, on-site execution, results of flow-back, post-job review and lessons learned.
The pilot test of GAGD was recorded with a good oil rate and low water-cut during flowing back after gas injection and shut-in for gas segregation, which suggests the positive effectiveness of GAGD to some degree. The expansion of the GAGD application to other wells and areas in the field would be encouraged in any similar situation. On the other hand, the results of this pilot test shed a light into further optimisation of the candidate selection and gas injection scheme by material balance analysis and reservoir simulation respectively.
HUBUNGAN KELENGKAPAN ALAT PELINDUNG DIRI (APD) TERHADAP TINGKAT KECEMASAN PERAWAT DALAM MENANGANI PASIEN PADA MASA PANDEMI COVID-19
Authors: Putra Fajar Alam , Suwarni Anik , Rahmawati Atik 
Published: November 2022

Indonesia saat ini masih dalam kondisi pandemi Covid-19 dengan jumlah kasus dan atau jumlah kematian semakin meningkat. Kondisi tersebut meningkatkan perubahan psikologis pada perawat seperti kecemasan dalam setiap melaksanakan asuhan keperawatan, untuk itu perawat dalam melakukan tugasnya memakai alat pelindung diri untuk mengantisipasi risiko terpapar berbagai virus termasuk Covid-19. Mengetahui Hubungan kelengkapan alat pelindung diri (APD) terhadap tingkat kecemasan perawat dalam menangani pasien pada masa pandemi Covid-19 di Ruang Ranap RSUI Kustati Surakarta. Penelitian ini adalah diskriptif korelatif dengan pendekatan cros sectional. Penelitian dilakukan di RSUI Kustati Surakarta pada bulan Maret sampai April 2021. Sampel penelitian adalah 55 orang perawat yang bekerja di Ruang Covid. Teknik sampel menggunakan tehnik total sampling. Instrumen penelitian menggunakan lembar observasional kelangkapan APD dan kuesioner kecemasan dari HRSA(Hamilton Ratting scale for Anxiety). Analisis data menggunakan uji Kendals tau. Sebanyak 39 responden (70,9%) menggunakan APD sangat lengkap, dan 16 responden (29,1%) menggunakan APD cukup lengkap. Sebanyak 5 responden (9,1%) tidak mengalami kecemasan, 23 responden (41,8%) dengan kecemasan ringan dan 27 responden (49,1%) dengan kecemasan sedang. dengan signifikansi p= 0,001 (p< 0,05). Ada Hubungan kelengkapan alat pelindung diri (APD) terrhadap tingkat kecemasan perawat dalam menangani pasien pada masa pandemi covid-19 di ruang ranap RSUI Kustati Surakarta.
PUBLIC EXPENDITURE AND ECONOMIC GROWTH: JUSTIFICATION OF KEYNES HYPOTHESIS USING NIGERIAN DATA
Authors: Obi, Callistar Kidochukwu  , Iyoha, Milton A.  , Egbon, Peter Chukwuyem  
Published: November 2022

Keynes advocated for an increase in the size of government spending, as the surest and easiest way an economy can overcome recession. Government spending is an exogenous variable and should be used as a policy tool or instrument for growth.This study attempts to test this postulation made by Keynes on public expenditure being an exogenous variable in the growth-public expenditure model, and as a growth driver, ascertaining its applicability to the Nigerian situation. Secondary Data was sourced and analyzed using a Vector Error Correction Model. Pre-estimation test was done to determine the stationarity and co-integration status of the variables. The VEC result showed that there is a no long run causality between government expenditure and economy growth, thus refuting the applicability of this Keynesian hypothesis in Nigeria. However, the short run test for causality affirmed that capital expenditure caused growth in the short run while recurrent expenditure does not cause growth in both the long and short-run. The study concluded that Keynes postulation of public expenditure being used as a tool for economic growth is not justified for Nigeria in the long-run but can be accepted in the short-run. It was therefore recommended that for the economy to experience rising growth over time which would spur them into economic development, government must increase the participation level of the private sector, and reduce its participation in economic activities to the barest minimum. Government should also channel its expenditure into ensuring peace and security of lives and properties, and provision of public goods.
Keywords: Growth Driver; Keynes hypothesis; Nigeria; Public spending; Vector Error Correction Model.
WORKPLACE BULLYING AND OCCUPATIONAL STRESS IN MANUFACTURING FIRMS IN SOUTHEAST NIGERIA
Authors: Nosike Chukwunoso , Onyekwelu Njideka Phina , Nwosu Chike 
Published: November 2022

This study examined the effect of workplace bullying and occupational stress in manufacturing firms in southeast Nigeria as the broad objective with a specific objective and a hypothesis accompanying it. Person-Environment (P-E) Fit Theory was used in anchoring the work. A survey research design was adopted by the study. The population of the study consisted of 798 employees of 25 manufacturing firms from the five southeastern states in Nigeria. A sample size of 259 was gotten by the application of Krejcie and Morgan's 1970 sample size formula. The method of data collection was primary, with a structured questionnaire being the instrument and was tested for reliability and validity. The data collected were analyzed using correlation analysis and the hypothesis was tested at a 5% level of significance. Results revealed that there is a statistically significant relationship between work-related bullying and occupational stress among workers in manufacturing firms in southeast Nigeria (r = 918, P-value < 0.05). The study, therefore, concluded that workplace bullying has a relationship with occupational stress. Hence, it was recommended that the management of the manufacturing firms should know the threshold of employees' tolerance, so as not to push them to the extent of the employee seeing it as bullying, and therefore, make them more stressed.
Keywords: Workplace Bullying, Work-Related Bullying, Stress, Occupation Stress, Manufacturing Firms and Southeast Nigeria.
On the development of a new prototype PTR-ToF-MS instrument and its application to the detection of atmospheric amines
Authors: Håland Alexander , Mikoviny Tomáš , Syse Elisabeth Emilie , Wisthaler Armin 
Published: November 2022

Abstract. We herein report on the development of a new prototype
PTR-ToF-MS (proton-transfer-reaction time-of-flight mass spectrometry) instrument that combines a hollow cathode glow discharge (HCGD)
ion source with a focusing ion–molecule reactor (FIMR), which consists of a
resistive glass drift tube surrounded by quadrupole rods. The new instrument
configuration hybridizes the two main current commercial PTR-ToF-MS
instrument designs. We provide a detailed technical description of the new
analyzer and its optimized operational settings for detecting volatile
amines via proton transfer reactions from hydronium (H3O+) or
ammonium (NH4+) ions. We show that the new prototype PTR-ToF-MS
instrument is capable of monitoring rapid changes of sticky amines on the
timescale of a few seconds and detects atmospheric variations of amines down
to single-digit parts per trillion by volume (pptv) levels. Application examples given include the
real-time monitoring of (i) methylamine emitted from a Chenopodium vulvaria L. plant, (ii) small
alkylamines in ambient air on site of an agricultural research center
(Senter for husdyrforsøk, Ås, Norway), and (iii) an industrial amine
(2-amino-2-methylpropan-1-ol, AMP) on site and downwind of a carbon dioxide
(CO2) capture test center (Technology Centre Mongstad – TCM, Mongstad,
Norway).
Probabilistic fault displacement hazard analysis for the north Tabriz fault
Authors: Hosseini Mohamadreza , Rahimi Habib 
Published: November 2022

Abstract. The probabilistic fault displacement hazard analysis is one of the
newest methods of estimating the amount of probabilistic displacement in
fault surface rupture areas. Considering the strike-slip mechanism of the
north Tabriz fault, Iran, using the earthquake method and historical earthquakes in 1721 and 1780, the surface displacement of the north Tabriz fault has been investigated, and the probabilistic displacement in different scenarios has been estimated. The north Tabriz fault's 50–60 km long section was selected as the source of possible surface rupture from its historical data. Two scenarios were considered according to probabilistic displacements, return periods, and magnitudes according to paleoseismic studies of the north Tabriz fault. For both scenarios, the probabilistic displacements for the exceedance rate of 5 % in 50, 475, and 2475 years for the probabilistic principle displacements (on the fault) of the north Tabriz fault have been estimated.
Faktor Sosiodemografi yang Berhubungan dengan Penerapan Protokol Kesehatan di Provinsi Jawa Barat
Authors: Annashr Nissa Noor , Neni Neni Neni , Ratnasari Rofiya Dienul Haq 
Published: November 2022

Kasus COVID-19 terus meningkat terutama sejak diberlakukannya era new normal. Jawa Barat menjadi provinsi dengan jumlah kasus COVID-19 terbanyak ke-2 di Indonesia. Hingga tanggal 21 November 2021 terdapat 706.314 kasus di Jawa Barat. Penelitian ini merupakan penelitian observasional analitik dengan menggunakan rancangan cross-sectional. Penelitian dilaksanakan pada Bulan September 2020. Populasi penelitian adalah seluruh penduduk Provinsi Jawa Barat berumur ≥ 12 tahun. Sampel dalam penelitian ini adalah masyarakat yang mengisi kuesioner secara sukarela yang disebarkan secara online melalui media sosial (whatsapp, Instagram, facebook), sehingga teknik pengambilan sampel dilakukan dengan accidental sampling dan didapatkan sampel sebanyak 2.502 orang. Variabel bebas penelitian adalah faktor sosiodemografi, berupa pendidikan, jenis kelamin, umur, status pernikahan. Sementara itu, variabel terikat adalah penerapan protokol Kesehatan (menjaga jarak, memakai masker, mencuci tangan). Setelah data dikumpulkan, data tersebut kemudian diolah dan dianalisis secara univariat, bivariat menggunakan uji chi square dan multivariat menggunakan uji regresi logistik ganda. Hasil analisis bivariat menunjukkan bahwa variabel umur (p = 0,000; OR = 1,748), jenis kelamin (p = 0,000; OR = 2,626) dan status pernikahan (p = 0,000; OR = 1,867) memiliki hubungan signifikan dengan penerapan protokol kesehatan. Sementara itu, variabel tingkat pendidikan tidak memiliki hubungan yang signifikan dengan protokol kesehatan (p = 0,622). Hasil analisis multivariat menunjukkan bahwa variabel jenis kelamin memiliki hubungan yang paling kuat dengan penerapan protokol kesehatan (OR = 2,475).
SON SINIF FİZYOTERAPİ VE REHABİLİTASYON ÖĞRENCİLERİNDE AKADEMİK KARİYER FARKINDALIĞINI ETKİLEYEN FAKTÖRLER: ANKARA ÖRNEĞİ
Authors: ÇELİK Halil İbrahim , ÖZTÜRK Demet , SARI Mustafa , BEK Nilgün 
Published: November 2022

Amaç: Akademik kariyer farkındalığına yönelik çalışmalar, belirli bir alanda uzmanlaşmayı sağlayarak fizyoterapistlerin akademik ve mesleki rol ve statülerinin gelişimini destekleyebilir. Bu çalışmada, kariyer planlaması aşamasında bulunan son sınıf fizyoterapi ve rehabilitasyon (FTR) öğrencilerinin akademik kariyer farkındalıklarını etkileyen faktörlerin incelenmesi amaçlandı.
Yöntem: Çalışma; Ankara ilinde üçü devlet (Hacettepe, Gazi ve Ankara Yıldırım Beyazıt Üniversitesi), üçü vakıf (Lokman Hekim, Başkent ve Atılım Üniversitesi) olmak üzere altı farklı üniversitede 2021-2022 eğitim öğretim yılında öğrenim gören 227 FTR son sınıf öğrencisi ile yürütüldü. Veri toplama aracı olarak “Kişisel Bilgi Formu” ve “Akademik Kariyer Farkındalık Ölçeği (AKFÖ)” kullanıldı. AKFÖ toplam puanını etkileyen faktörler çoklu doğrusal regresyon analizi ile incelendi.
Bulgular: Çalışma yaşları 22.6±1.3 yıl olan, 134’ü (%59) devlet, 93’ü (%41) vakıf üniversitesinde eğitim gören 227 (kadın: 186, %82) FTR son sınıf öğrencisi ile tamamlandı. AKFÖ toplam puanı üzerinde etkili faktörlerin; akademik kariyer hakkında bilgilendirilme durumu (B=12.22, p
Prediction of Placenta Accreta Spectrum by Machine Learning Methods and Determination of Candidate Biomarkers
Authors: YAŞAR Şeyma , YOLOĞLU Saim 
Published: November 2022

Placenta accreta spectrum (PAS) disorders; Abnormal adhesion of placental villi to the myometrium associated with endometrial trauma or dysplasia. Placenta previa and previous cesarean section operations are two major risk factors for PAS disorders. It is usually diagnosed by ultrasound examinations performed during pregnancy follow-up. After this diagnosis is made, a very careful and strict pregnancy follow-up should be done. If the diagnosis is made during pregnancy, the delivery should be done by cesarean section and the bleeding that the mother will experience should be stopped with an appropriate method. However, no protein candidate to be used in clinical diagnosis has been found so far. The aim of this study is to identify candidate biomarkers that can be used in the diagnosis and follow-up of PAS with machine learning methods.
In this study, proteomic data obtained from 26 women with and without PAS were used. After using the Lasso method as the variable selection method, machine learning models (XGBoost, Adaboost) were created with 5-fold cross-validation. Accuracy, Balanced accuracy, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, F1-Score, MCC and G-mean metrics were used in the performance evaluation of the models created.
When the performance metrics of the two models are compared, the best result belongs to the XGBoost machine learning model. Therefore, the Accuracy, Balanced accuracy, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, F1-Score, MCC, and G-mean performance criteria for the XGBoost model are 0.962, 0.950, 1.00, 0.90, 0.94, 1.00, 0.97, 0.92, and 0.97, respectively.
As a result, considering the experimental results, it can be said that the created machine learning model is quite successful in classifying PAS. In addition, it can be said that KDR and AMH proteins are candidate biomarkers that can be used in the diagnosis and follow-up of PAS according to the significance of the variables related to the model.