Miracle-dz/UniFAR-FTUs huggingface dataset:
Surfaces nanostructurées de nickel électrodéposé sur divers substrats: Etude de la croissance d'interface et des caractéristiques magnétiques

Le role des imperfections de surface de materiaux en forme de couches minces est accru a mesure que leur epaisseur decroit. Cependant, le lien entre la formation de ces imperfections et la nature du substrat de depot en jeu est un fait abondamment souligne dans la litterature. Son interet devient majeur a l'ere de la miniaturisation intensive des systemes modernes d'application industrielle. Les couches minces electrodeposees de nickel possedent une grande variete de morphologies de surface, suivant les conditions d’elaboration et le substrat de depot. A cet effet, le microscope a force atomique nous a permis d'etudier la morphologie (aspect qualitatif) et la topographie (aspect quantitatif) de surface des couches de nickel elaborees par Chronoamperometrie et Voltamperometrie cyclique a travers notamment les parametres statistiques que sont la rugosite RMS et le diametre moyen des grains de nickel, qui donnent respectivement une information verticale et horizontale sur la topographie de la surface. A travers ces parametres, nous avons pu, d'une part, presenter l'evolution de la topographie de surface en fonction des conditions d’elaboration (la densite de courant et la vitesse de balayage en potentiel) et d'autre part, etudier la fractalite (etude dynamique a travers la loi de Family-Viscek) et le mode de croissance (etude analytique a travers l’equation de KPZ) des couches electrodeposees de nickel. Par ailleurs, nous avons montre que les caracteristiques ferromagnetiques macroscopiques (champ coercitif et aimantation remanente et a saturation) de ces couches etaient influencees non seulement par leur epaisseur (contribution volumique) mais egalement par leur topographie (contribution surfacique) via la rugosite RMS et la taille des grains. De meme, la topographie a un profond impact sur le processus de retournement de l’aimantation ainsi que sur la configuration magnetique locale des couches minces de nickel. En effet, leurs structures en domaines evoluent, sur chacun des substrats, avec l’epaisseur, la rugosite et la taille des grains de nickel
BACTERIOLOGICAL EXAMINATION OF SOME READY-TO-EAT FOODS IN FAISALABAD

The aim of this study was to find out bacteriological quality of ready-to-eat (RTE) foods in Faisalabad by ascertaining the bacteria contaminating various RTE foods through Aerobic Plate Count (APC) on nutrient agar and to count the different types of bacteria through APC on selective media for Staphylococci, E. coli and Salmonella. A total of 120 samples Dahee baray, goal gappay, fruit chat and patties were collected from different streets and school canteens in Faisalabad city between March and August, 2010. The most prevalent isolated bacteria from Dahee baray, goal gappay, fruit chat and patties were; Escherichia coli, Staphylococcus aureus and Salmonells sp. The viable bacterial counts were 7.4x10 4 cfu/ml, 3 x 10 4 cfu/ml, 2.5 x 10 4 cfu/ml and 4 x 10 4 cfu/ml for Dahee baray, goal gappay, fruit chat and patties, respectively.
The Oakland-Berkeley Hills fire of 1991

Sunday, October 20, 1991, will be remembered as the date of America’s most costly urban-wildland fire (FEMA 1992) and one of the worst fires involving loss of life and property since the Great San Francisco Earthquake and Fire of 1906 (OFD 1992). The magnitude and range of what is simply referred to as the “Tunnel Fire” is far beyond the experience of any living American firefighter. Only those who fought the Chicago Fire last century and those who battled the Great Fire in San Francisco would be able to identify with this conflagration and firestorm.
Water balance of Lake Victoria: update to 2000 and climate change modelling to 2100 / Bilan hydrologique du Lac Victoria: mise à jour jusqu’en 2000 et modélisation des impacts du changement climatique jusqu’en 2100

Abstract Abstract An annual water balance model of Lake Victoria is derived for the period 1925–2000. Regression techniques are used to derive annual inputs to the water balance, based on lake rainfall data, measured and derived inflows and estimated evaporation during the historical period. This approach acknowledges that runoff is a nonlinear function of lake rainfall. A longer inflow series is produced here which is representative of the whole inflow to the lake, rather than just from individual tributaries. The results show a good simulation of annual lake levels and outflows and capture the high lake level in 1997–1998. Climate change scenarios, from a recent global climate model experiment, are applied to the lake rainfall inflow series and evaporation data to estimate future water balances of the lake. The scenarios produce a potential fall in lake levels by the 2030s horizon, and a rise by the 2080s horizon. A discussion of the application of climate change data to this complex hydrological system is presented.
Klasifikasi Bidang Keahlian Mahasiswa Menggunakan Algoritma Naive Bayes

Salah satu faktor yang dapat menentukan pilihan bidang keahlian mahasiswa yang dimiliki Jurusan Informatika Fakultas Teknik Universitas Tanjungpura adalah penguasaan sub kemampuan yang dikuasai oleh mahasiswa terhadap kriteria sub kemampuan pada bidang pilihan tersebut. Apabila mahasiswa memiliki kemampuan yang dikuasai di bidang keahliannya tentunya akan mempermudah mahasiswa dalam proses pemilihan topik tugas akhir/skripsi. Penelitian ini bertujuan untuk menerapkan dan menguji performa klasifikasi algoritma Naive Bayes dalam mengklasifikasikan bidang keahlian untuk mendapatkan model klasifikasi bidang keahlian mahasiswa berdasarkan kemampuan yang dikuasai oleh mahasiswa terhadap kriteria sub kemampuan pada kelompok keahlian Jurusan Informatika Fakultas Teknik Universitas Tanjungpura. Metode yang digunakan dalam penelitian ini adalah Synthetic Minority Oversampling Technique (SMOTE) sebagai preprocessing untuk menangani ketidak seimbangan kelas, Chi Square sebagai feature selection dalam mengurangi dimensi data, menghilangkan fitur-fitur yang tidak relevan dan Naive Bayes yang berfungsi untuk mengklasifikasi data. Pengujian akurasi metode pada penelitian ini dilakukan dengan K-Fold Cross Validation dan evaluasi menggunakan Confusion Matrix. Pengujian dilakukan dengan menggunakan empat skenario pengujian. Skenario pengujian pertama dilakukan menggunakan algoritma Naive Bayes dengan hasil nilai akurasi sebesar 66%. Skenario pengujian kedua dilakukan menggunakan algoritma Naive Bayes dan Chi Square dengan hasil nilai akurasi sebesar 71%. Skenario pengujian ketiga dilakukan menggunakan algoritma Naive Bayes dan SMOTE dengan hasil nilai akurasi sebesar 79%. Skenario pengujian keempat dilakukan menggunakan algoritma Naive Bayes, SMOTE dan Chi Square dengan hasil nilai akurasi sebesar 80%. Terdapat peningkatan akurasi pada klasifikasi dengan penambahan SMOTE dan Chi Square sebagai balanced data dan feature selection. Hal ini dikarenakan data set yang digunakan sudah seimbang dan memiliki kriteria yang relevan, dari 228 data set sebanyak 183 data berhasil diprediksi dengan benar. Sehingga model dengan menggunakan algoritma Naive Bayes, SMOTE dan Chi Square dapat memberikan performa model yang baik dan dapat digunakan dalam memprediksi bidang keahlian mahasiswa.
Inoculación de hongos micorrízicos arbusculares en Ochroma pyramidale (balsa) en fase de vivero

El presente estudio investiga la importancia de la inoculación de micorrizas arbusculares (HMA) en plantas de balsa (Ochroma pyramidale) en fase de vivero. Los HMA desempeñan un papel fundamental en la mejora de la absorción de nutrientes, el crecimiento de las plantas y la resistencia al estrés hídrico, lo que puede beneficiar la productividad y la sostenibilidad en la gestión forestal. Los objetivos del estudio fueron cuantificar las esporas, evaluar la colonización micorrícica y analizar variables dasométricas en plantas inoculadas. Se observaron diferencias significativas entre tratamientos, siendo el consorcio Glomus spp. el que presentó mayor densidad de colonización visual, longitud y peso de las raíces y porcentaje de pelos radiculares. El consorcio Glomus spp. fue el más eficaz para mejorar el crecimiento de la planta de balsa, seguido de Acaulospora spp. y Scutellospora spp. Recomendamos validar la eficacia a largo plazo de la inoculación en el lugar final del trasplante y considerar la diversidad de consorcios micorrícicos para aumentar los beneficios. Este estudio se suma al conocimiento científico de las interacciones AMF-planta y proporciona una valiosa herramienta para promover prácticas sostenibles en reforestación y gestión forestal, reduciendo la dependencia de fertilizantes químicos y conservando los recursos naturales.
Using Local Knowledge and Remote Sensing in the Identification of Informal Settlements in Riyadh City, Saudi Arabia

Urban planning within Riyadh, the capital of Saudi Arabia, has been impacted by the presence of informal settlements. An understanding of the spatial distribution of these settlements is essential in developing urban policies. This study used remotely sensed imagery to evaluate and characterize informal settlements within the city, both with and without expert knowledge of the study area (defined as expert knowledge, EK). An informal settlement ontology for four study sites within Riyadh City was developed using an analytical hierarchy process (AHP). Local knowledge was translated into a ruleset to identify and map settlement areas using spatial, spectral, textural, and geometric techniques. These were combined with an object-based image analysis (OBIA) approach. The study demonstrated that combining expert knowledge and remotely sensed data can efficiently and accurately identify informal settlements. Two classified images were produced, one with EK, and one without EK, to investigate how a detailed understanding of local conditions could affect the final image classification. Overall accuracy when using EK was 94%, with a kappa coefficient of 89%, while without EK accuracy was 68% (kappa coefficient of 61%). The final OBIA classes included formal and informal settlements, road networks, vacant blocks, shaded areas, and vegetation. This study demonstrated that local expert knowledge and OBIA helpful in urban mapping. It also indicated the value of integrating a local ontological process during digital image classification. This work provided improved techniques for mapping informal settlements in Middle Eastern cities.
Impact of Mixed Farming on the Socioeconomic Conditions of Small-Scale Farmers in Tehsil Mankera District, Bhakkar

The research study investigates the mixed farming attributes of farmer's households concerning socioeconomic conditions and services provided in the study area. The baseline survey was executed to investigate the indigenous farming activities, socioeconomic conditions of the local community, and services provided in Tehsil Mankera, District Bhakkar. 200 farmers' households from 20 stations and eight union councils were selected for the baseline survey. Ten farmers' households from each village were selected with random sampling. The results revealed that the study area comprised three types of cultivation: tube well cultivation was 17%, canal cultivation was 4%, and rain-fed cultivation was about 79. The total cultivated area was 88%, and significant Rabi crops were Gram (the primary source of their livelihood), wheat (the local staple food of the farmers) with fodder like alfalfa and mustard. The main Kharif crops were pearl millet (bajra) and cluster bean (guar seed). The farmer's households have an average of 2-6 cattle at home. The area is mainly rain-fed with poor health, education, water, sanitation, and electricity facilities. Most of the farmers' households' land is under 5-10 acres with poor quality that is difficult to cultivate. Poverty prevails in the study area. Agriculture and livestock herding are their livelihood strategies. Expenditures are far more than the annual income of farmer's households. Farmer's households live below the poverty line.
Comparative Evaluation of Rapid Card Test And Enzyme Linked Immunosorbent Assay For The Detection Of Hepatitis B Surface Antigen In A Tertiary Care Hospital

Background: Hepatitis B virus (HBV) infection is one of the leading causes of death in developing countries. The most importantmarker for HBV diagnosis is detection of Hepatitis B surface antigen in blood.Objective: The aim of this study was to compare the analytical sensitivity of a rapid card test in comparison to Enzyme-LinkedImmunosorbent Assay (ELISA) which is considered a Gold Standard technique for the detection of HBsAg in blood samplesreceived for HBsAg test in serology section of Microbiology Department, Central Laboratory, Sharda Hospital.Methods: Cross-sectional observational study was conducted at the Department of Microbiology, School of Medical Sciences &Research for a period of 12 months from 1st November 2020 to 31st October 2021. The two different brands by which multipleparameters were analyzed were HEPACARD and Erba Lisa SEN HBsAg.Results: A total of 13939 blood samples were received for HBsAg diagnosis. For the study purpose, from the total of 13939samples, 386 were randomly selected to be included in the study with 193 positive samples and 193 negative samples. Thesensitivity and specificity of Rapid card were 95.83% and 100% respectively. The Positive predictive value and Negativepredictive value of Rapid card were 100% and 95.65% respectively for HBsAg detection.Conclusion: It can be concluded that, an ideal rapid test is a boon in time-saving situations. Since HBsAg screening by a rapidtest is easier, cost effective, time saving can be easily performed by any trained health care worker at any time of need. Hence,HBsAg screening can be preferable done by a Rapid card test followed by a supplemental ELISA and Polymerase chain reactionfor further confirmation. Good sensitivity and specificity of Immuno-chromatography test (ICT) for early detection of HBsAgwas observed.
Rare disease: Cannabinoid hyperemesis

A 21-year-old woman presented with a 4-week history of sudden onset vomiting, nausea and anorexia. Questioning revealed that she had a 7-year history of heavy cannabis use (smoking). She did not describe abdominal pain, change in bowel habit, antibiotic use, foreign travel or contact with gastroenteritis. Biochemistry results demonstrated mild metabolic derangement with a low potassium and a low bicarbonate, and urine toxicology was positive for cannabinoids. Other investigations, including a full blood count, renal function tests, liver function tests, a coagulation sample, an ECG, urinary β-hCG and a CT head scan, were all normal. A diagnosis of cannabinoid hyperemesis was made and her symptoms resolved after treatment with intravenous fluids, antiemetics and abstinence from cannabis. Since her discharge and abstinence she has had several relapses, each related to cannabis use and each resolving with abstinence. The patient is now seeking cognitive behavioural therapy to achieve permanent abstinence.
Skeletal Class II Malocclusion: From Clinical Treatment Strategies to the Roadmap in Identifying the Genetic Bases of Development in Humans with the Support of the Collaborative Cross Mouse Population

Depending on how severe it is, malocclusion, which may involve misaligned teeth, jaws, or a combination of the two, can hurt a person’s overall facial aesthetics. The maxillary molar develops before the mandibular molar in class II malocclusion, which affects 15% of the population in the United States. With a retrusive mandible, patients typically have a convex profile. The goal of this study is to classify the skeletal and dental variability present in class II malocclusion, to reduce heterogeneity, present the current clinical treatment strategies, to summarize the previously published findings of genetic analysis, discuss these findings and their constraints, and finally, propose a comprehensive roadmap to facilitate investigations aimed at determining the genetic bases of malocclusion development using a variety of genomic approaches. To further comprehend the hereditary components involved in the onset and progression of class II malocclusion, a novel animal model for class II malocclusion should be developed while considering the variety of the human population. To overcome the constraints of the previous studies, here, we propose to conduct novel research on humans with the support of mouse models to produce contentious findings. We believe that carrying out a genome-wide association study (GWAS) on a large human cohort to search for significant genes and their modifiers; an epigenetics-wide association study (EWAS); RNA-seq analysis; integrating GWAS and the expression of quantitative trait loci (eQTL); and the testing of microRNAs, small RNAs, and long noncoding RNAs in tissues related to the skeletal class II malocclusion (SCIIMO) phenotype, such as mandibular bone, gum, and jaw in humans and the collaborative cross (CC) mouse model, will identify novel genes and genetic factors affecting this phenotype. We anticipate discovering novel genetic elements to advance our knowledge of how this malocclusion phenotype develops and open the venue for the early identification of patients carrying the susceptible genetic factors so that we can offer early prevention treatment strategies.
Wiggle and Shake: Managing and Exploiting Conformational Dynamics during Proteasome Biogenesis

The 26S proteasome is the largest and most complicated protease known, and changes to proteasome assembly or function contribute to numerous human diseases. Assembly of the 26S proteasome from its ~66 individual polypeptide subunits is a highly orchestrated process requiring the concerted actions of both intrinsic elements of proteasome subunits, as well as assistance by extrinsic, dedicated proteasome assembly chaperones. With the advent of near-atomic resolution cryo-electron microscopy, it has become evident that the proteasome is a highly dynamic machine, undergoing numerous conformational changes in response to ligand binding and during the proteolytic cycle. In contrast, an appreciation of the role of conformational dynamics during the biogenesis of the proteasome has only recently begun to emerge. Herein, we review our current knowledge of proteasome assembly, with a particular focus on how conformational dynamics guide particular proteasome biogenesis events. Furthermore, we highlight key emerging questions in this rapidly expanding area.
Language Variety in the South Revisited

Language Variety in the South Revisited is a comprehensive collection of new research on southern United States English by foremost scholars of regional language variation. Like its predecessor, Language Variety in the South: Perspectives in Black and White (The University of Alabama Press, 1986), this book includes current research into African American vernacular English, but it greatly expands the scope of investigation and offers an extensive assessment of the field. The volume encompasses studies of contact involving African and European languages; analyses of discourse, pragmatic, lexical, phonological, and syntactic features; and evaluations of methods of collecting and examining data. The 38 essays not only offer a wealth of information about southern language varieties but also serve as models for regional linguistic investigation.
The Road to Developing Standard Time for Efficient Nursing Care: A Time and Motion Analysis

(1) Background: The amount of time nurses spend with their patients is essential to improving the quality of patient care. Studies have shown that nurses spend a considerable amount of time on a variety of activities––which are often not taken into account while estimating nurse-to-patient care time allocation––that could potentially be eliminated, combined or delegated with greater productivity. The current study aimed to calculate standard time for each activity category by quantifying the amount of time required by nurses to complete an activity category and determine the adjustment time that can be given during work, as well as determine factors that can be altered to improve the efficiency of nursing care on inpatient general wards of a governmental hospital. (2) Method: A time and motion study was conducted over two weeks using 1-to-1 continuous observations of nurses as they performed their duties on inpatient general wards, while observers recorded each single activity, and specifically the time and movements required to complete those activities. (3) Result: There was 5100 min of observations over 10 working days. Nurses spent 69% (330 min) of time during their 8 h morning shift on direct patient care, (19.4%) ward/room activities (18%), documentation (14%), indirect patient care (12%) and professional communication (5%). Around 94 min of activities seem to be wasted and can be potentially detrimental to nurses’ overall productivity and threaten patient care quality. The standard number of hours that represents the best estimate of a general ward nurse regarding the optimal speed at which the staff nurse can provide care related activities was computed and proposed. (4) Conclusions: The findings obtained from time–motion studies can help in developing more efficient and productive nursing work for more optimal care of patients.
Employee Performance Improvement through Strategic Human Resource Management, Burn Out and Work Ability with Intention to Leave as Intervening Variable on PT. Susanti Megah, Surabaya

Human resource management is currently focused on Strategic Human resource Management, which includes strategic practices of Human resource management while also considering other variables to build employee performance in a company. Therefore, this study aims to examine the influence of Strategic Human resource management, Burnout, and Work Ability on Employee performance, with Intention to Leave as an intervening variable, at PT. Susanti Megah, Surabaya. This study is quantitative research with an explanatory approach, using a questionnaire as the primary data source. The questionnaire was distributed to 150 employees of PT. Susanti Megah, Surabaya. The calculation and data analysis used for hypothesis testing in this study employed Smart-PLS 3.2 software. The results of the study show that Strategic Human Resources Management has a negative but non-significant effect on Intention to leave but a positive and significant effect on Employee Performance. Burnout has a positive and significant effect on the intention to Leave, but it also has a negative and significant effect on Employee Performance. Work Ability has a negative and significant effect on the intention to Leave, but it also has a positive and significant effect on Employee Performance. The intention to Leave has a negative and significant effect on Employee Performance.