bluuebunny/crossref_metadata_2025_split huggingface dataset:
SUBSTITUSI KULIT PISANG GOROHO (Musa acuminafe, sp) FERMENTASI TERHADAP KUALITAS TELUR AYAM PETELUR
Authors: Djunu Sri Suryaningsih , Saleh Ellen J , Chuzaemi Siti , Djunaidi Irfan H. , Natsir M Halim 
Published: March 2024

ABSTRAkPenelitian ini bertujuan untuk mengevaluasi pemberian pakan kulit pisang Goroho fermentasi sebagai substitusi jagung dengan taraf berbeda terhadap kualitas telur ayam petelur. Materi penelitian terdiri dari ayam petelur fase layer berumur 47 minggu. Pakan yang digunakan adalah pakan basal dan bahan pakan kulit pisang Goroho fermentasi. Metode penelitian menggunakan Rancangan Acak Lengkap (RAL) dengan 5 macam perlakuan dan 5 ulangan, terdiri atas P0 (pakan tanpa tepung kulit pisang Goroho fermentasi), P1 (pakan + kulit pisang Goroho fermentasi substitusi jagung 5%), P2 (pakan + kulit pisang Goroho fermentasi substitusi jagung 10%), P3 (pakan + kulit pisang Goroho fermentasi substitusi jagung 15%), P4 (pakan + kulit pisang Goroho fermentasi substitusi jagung 20%). Variabel penelitian yakni: indeks kuning telur, indeks putih telur, tebal kerabang telur, volume telur, warna kuning telur dan kolesterol kuning telur. Data yang diperoleh dianalisis dengan rancangan acak lengkap dan bila terdapat perbedaan yang nyata antar perlakuan dilanjutkan dengan uji jarak berganda Duncans. Hasil diperoleh bahwa substitusi kulit pisang Goroho terfermentasi inokulum Rhizopus oligosphorus dan Trichoderma viride optimal meningkatkan kualitas indeks kuning telur sebesar 2,22% (P1: 0,460), volume telur 9,80% (P2: 55,45 ml) dan menurunkan kadar kolesterol sebesar 21,14% (P3: 14,59).
ﺩﻭﺭ ﺍﻟﻧﻳﺭﺍﻥ ﻓﻲ ﺗﺻﻭﻳﺭ ﺍﻟﺷﺎﻋﺭ ﺍﻟـﺟﺎﻫـﻠﻲ ­ ﺍﻟـﺫﺍﺗﻳﺔ ٬ ﺍﻟـﻣﻭﺿﻭﻋﻳﺔ ٬ ﺍﻟـﻘﺭﻯ ­ ﺍﻧﻣﻭﺫﺟـﺎً ­
Authors: Raja' lazm ramdan  
Published: March 2024

ﻛﺎﻨـت اﻟﻨـﺎر ﻤـن اﻟﻤﻛﺘﺸـﻔﺎت ﻋﻠـﻰ طرﻴـق اﻟﺼـدﻓﺔ اﻟﺘـﻲ ﻋﻤـﻝ اﻻﻨﺴـﺎن ﻋﻠـﻰ اﺴـﺘﺨداﻤﻬﺎ ﻓـﻲ
ﺘطوﻴر ﻤﺨﺘرﻋﺎت ﻤﻘﺼودة ٬ ﻓﻘد ﻛﺎﻨت اﻋﺠوﺒﺔ ﺨﻠﻘﻬﺎ اﷲ ﺴﺒﺤﺎﻨﻪ وﺘﻌﺎﻟﻰ ﻟﻼﻨﺴﺎن (١) .

ﻓﻤﻨـذ ان اﻛﺘﺸـﻔﻬﺎ أرﻫـﺎ ﻋﻨﻴﻔـﺔ ٬ ﺘﻘﺘـﻝ وﺘﻬﻠـك وﺘﺒﻴـد ٬ (٢) ورآﻫـﺎ اﻴﻀـﺎً اﻨﻴﺴـﺔ داﻓﺌـﺔ ﺘﻘﻬـر ﻋـدوﻩ
اﻟﻤﺨﻴـف وﻫـو اﻟظـﻼم ٬ وﻗـﺎﻝ اﺼـﺤﺎب اﻟﻛـﻼم : ( ان اﷲ ﻋـز وﺠـﻝ ﺠﻤـﻊ ﻓـﻲ اﻟﻨـﺎر اﻟﺤرﻛـﺔ واﻟﺤـ اررة

واﻟﻴﺒوﺴﺔ ٬ واﻟﻠطﺎﻓﺔ واﻟﻨور ٬ وﻫﻲ ﺘﻔﻌﻝ ﺒﻛﻝ ﺼورة ﻤن ﻫـذﻩ اﻟﺼـور ﻤـن ﺨـﻼﻝ ﻤـﺎ ﺘﻔﻌـﻝ ﺒـﺎﻻﺨرى ٬

ﻓﺎﻟﺤرﻛﺔ ﺘﻐﻠﻲ اﻻﺠﺴﺎم ٬ وﺒـﺎﻟﺤ اررة ﺘﺴـﺨن ٬ وﺒﺎﻟﻴﺒوﺴـﺔ ﺘﺠﻔـف ٬ وﺒﺎﻟﻠطﺎﻓـﺔ ﺘﻨﻔـذ ٬ وﺒـﺎﻟﻨور ﺘﻀـﻲء ﻤـﺎ
ﺤوﻟﻬﺎ ) (٣) .

وﻛﺎﻨت اﻟﻨﺎر ﻓﻲ اﻟﻤوروث اﻟﺴﺎﻤﻲ ﻴﻌدوﻨﻬﺎ ﻤطﻬ اًر ﻗوﻴﺎً ﻻﻨﻬـﺎ ﺘﻠـﺘﻬم ﺠﺴـد اﻻﻨﺴـﺎن اﻟﻔـﺎﻨﻲ ﻓـﻼ
ﻴﺒﻘـﻰ ﻤﻨـﻪ اﻻ روﺤـﻪ اﻻﻟﻬﻴـﺔ اﻟﺨﺎﻟـدة (٤) . ﻓـﻲ ﺤـﻴن ان اﻟوﺜﻨﻴـﺔ اﻟﻔﻴﻨﻴﻘﻴـﺔ ﻛﺎﻨـت ﺘﻘـدم اﻟﻀـﺤﺎﻴﺎ اﻟﺒﺸـرﻴﺔ

ﻟﻠﻨﺎر ﻤﺘﺨذﻴن اﻋز اﺒﻨﺎﺌﻬم ﻗ ارﺒﻴن ﻟﻨﺎر اﻵﻟﻬﺔ (٥) .

وﻓﻲ ﻋﺼر ﻤﺎ ﻗﺒﻝ اﻻﺴﻼم اﺘﺼﻝ اﻟﻌرب ﺒـﺎﻟﻤﺠوس ﻤـن اﻟﻔـرس ﻓـﻲ اﻟـﻴﻤن واﻟﺤﻴـرة واﻟﺒﺤـرﻴن

٬ ووﻗﻔوا ﻋﻠﻰ ﻤذاﻫﺒﻬم وﻤﻌﺘﻘـداﺘﻬم اﻟدﻴﻨﻴـﺔ وﻤﻨﻬـﺎ ﻋﺒـﺎدﺘﻬم ﻟﻠﻨـﺎر ٬ ﻓﺤﺎﻛـت ﺘﻠـك اﻟطواﺌـف اﻟﻌرﺒﻴـﺔ ﻓـﻲ
ﻋﺒﺎدﺘﻬم (٦) .

وﺸـﻌر ﻋﺒـﺎس ﺒـن ﻤـرداس اﻟﺴـﻠﻤﻲ ﻓﻴـﻪ ﻤـدح ﻟﻠرﺴـوﻝ (  ) ﺒﺄﻨـﻪ اطﻔـﺄ ﻨﻴـ ارن اﻟﻔـرس وذﻟـك ﻓـﻲ

ﻗوﻟﻪ :

وﻨورت ﺒﺎﻟﺒرﻫﺎن اﻤ ارً ﻤد ّﻤﺴﺎً

واطﻔﺄت ﺒﺎﻟﺒرﻫﺎن ﻨﺎ ارً ﻤﻀّرﻤﺎ (٧)

وﻋظم اﷲ ﺘﻌﺎﻟﻰ ﻤن ﺸﺄن اﻟﻨﺎر ﺒﺄن ﺠﻌﻠﻬﺎ ﺘﻨﺘﻘم ﻓﻲ اﻻﺨـرة ﻤـن اﻋداﺌـﻪ ﺠﻤـﻴﻌﻬم ٬ وﻨﻬـﻰ ان

ﻴﺤرق ﺒﻬﺎ ﺸـﻲء ﻤـن اﻟﻬـوام (٨) . ﻓﻘـﺎﻝ ﻋﻠـﻰ ﻟﺴـﺎن رﺴـوﻟﻪ اﻟﻛـرﻴم (  ) : (( ﻻ ﺘﻌـذﺒوا ﺒﻌـذاب اﷲ ))

(٩) . وﻗﺎﻝ اﷲ ﺘﻌﺎﻟﻰ ﻟﻠﺜﻘﻠﻴن [ ﻳ  ﺮ  ﺳ  ﻞُ ﻋ  ﻠَﻴ  ﻜُﻤ  ﺎﺷ  ﻮ  ﺍﻅٌ ﻣ  ﻦ ﻧﱠﺎﺭٍ ﻭ  ﻧُﺤ  ﺎﺱ  ﻓَﻠَﺎ ﺗَﻨﺘَﺼ  ﺮ  ﺍﻥِ * ﻓَﺒِﺄَﻱ  ﺁﻟَﺎﺀ ﺭ  ﺑ  ﻜُﻤ  ﺎ ﺗُﻜَﺬﱢﺑ  ﺎﻥِ

[ (١٠) .

وﻋظم ﺸﺄن اﻟﻨﺎر ﻟﻤﺎ اﻀﻴﻔت اﻟﻰ اﺴم اﻟﺠﻼﻟـﺔ ﻓﻘـﺎﻟوا : ﻨـﺎر اﷲ وﺴـﻌرﻩ وﻗـﺎﻟوا : ﻏﻀـب اﷲ
وﻟﻌﻨﺘﻪ ٬ وﺴﺨط اﷲ وﻏﻀﺒﻪ . وﻫﻤﺎ ﻨﺎرﻩ او اﻟوﻋﻴد ﺒﻨﺎرﻩ (١١) .
ﻓﻛﺭﺓ ﺍﻟﻣﺳﺭﺡ ﻓﻲ ﺍﻟﻔﺿﺎءﺍﺕ ﺍﻟﻣﻔﺗﻭﺣﺔ(ﺍﻟﻣﺩﻳﻧﺔ ﺍﻟﻣﺟﺗﻣﻊ) "ﺍﻷﻟﻌﺎﺏ ﺍﻟﺷﻌﺑﻳﺔ ﺍﻟﻌﺭﺍﻗﻳﺔ ﻧﻣﻭﺫﺟﺎً"
Authors: ﺩ. ﻫﻳﺛﻡ ﻋﺑﺩ ﺍﻟﺭﺯﺍﻕ  
Published: March 2024

اﻟﻤﺸﻛﻠﺔ ﺘﻨطﻠق ﻤن ﺴؤاﻝ اﻻﺨﺘﻼف واﻟﺘواﻓق ﺒﻴن ﻓﻀﺎء ﻓﻛرة اﻟﻤﺴرح ﻛﻌﻤﻠﻴﺔ ﻤﺴﺘﻤرة ﻓﻲ

اﻟﻔﻀﺎءات اﻟﻤﻔﺘوﺤﺔ وﻓﻀﺎء اﻟﻌرض اﻟﻤﺴرﺤﻲ ﻛﺈﻨﺘﺎج ﻟﻪ ﺒداﻴﺔ وﻨﻬﺎﻴﺔ.

ارﺘﺒط اﻷوﻝ ﺒﺈﻨﺘﺎج اﻟﺴﻴﺎﺴﺔ اﻟﺜﻘﺎﻓﻴﺔ ﻟﻠﻀﺒط واﻟﺘوازن اﻻﺠﺘﻤﺎﻋﻲ ﺒﻴن اﻟﻔرد وﺒﻴﺌﺘﻪ اﻟﻤﺎدﻴﺔ

واﻟﺜﺎﻨﻲ ﺒﺎﻟﻤﻌﺎﻴﺸﺔ اﻟﻔﻛرﻴﺔ ﻟﺘﻤظﻬ ارت ﺘﻠك اﻟﻌﻼﻗﺔ.
ﺃﻫﻣﻳﺔ ﺍﻟﺑﺣﺙ:

ﻴﺸﻴر اﻟـﻰ أﻫـﻤﻴﺔ ﻓﻛرة اـﻟﻤﺴرحـ ﻛﺴﺘراﺘـﻴﺠﻴﺔ وﺘـﻛﻨﻴك وﺜﻴق اـﻟﺼﻠﺔ ﺒـﺤﻴﺎة اﻻـﻨﺴﺎنـ اﻟـﺨﺎﺼﺔ

واﻻﺠﺘﻤﺎﻋﻴﺔ ٬ وﺜﻴق اﻟﺼﻠﺔ ﺒﺘﺤوﻝ وﺘﻛﺸف ﻫوﻴﺔ اﻻﻨﺴﺎن وﺘﺠددﻩ.
ﻫﺩﻑ ﺍﻟﺑﺣﺙ:

ﻴـﻠﻔت ﻨـظر اـﻟـﺨطﺎبـ اـﻟـﺴﻴﺎﺴﻲ اـﻟـﻰ ﺘـﻛﻨﻴك وـﺴﺘ ارـﺘـﻴﺠﻴﺔ ﻓـﻛرةـ اـﻟـﻤﺴرحـ ﻓـﻲ ﻓـﻀﺎءـ اـﻟـﻤﺠﺘﻤﻊ

ﻟﺘطوﻴر وﺘﺠدﻴد ﻫوﻴﺔ اﻻﻨﺴﺎن وﻗدرﺘﻪ ﻋﻠﻰ اﻻﻨدﻤﺎج واﻻﻨﺘﺎج واﻟﺘﻨﻤﻴﺔ واﻻﺴﺘﺜﻤﺎر وﺘﻨظﻴم

ﻤﺴؤوﻟﻴﺔ اﻟﻌﻼﻗﺔ وﻀﺒطﻬﺎ ﺒﻴن اﻟﻔرد وﻤؤﺴﺴﺎت اﻟﻤﺠﺘﻤﻊ ﺒﻤﻌزﻝ ﻋن اﻟﻌﻼﻗﺔ اﻟﻘﺴرﻴﺔ او

اﻻﺴﺘﺒدادﻴﺔ.
A Model-Based Prognostics Approach Applied to Pneumatic Valves
Authors: Daigle Matthew J. , Goebel Kai 
Published: March 2024

Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain knowledge of the system, its components, and how they fail by casting the underlying physical phenomena in a physics-based model that is derived from first principles. Uncertainty cannot be avoided in prediction, therefore, algorithms are employed that help in managing these uncertainties. The particle filtering algorithm has become a popular choice for model-based prognostics due to its wide applicability, ease of implementation, and support for uncertainty management. We develop a general modelbased prognostics methodology within a robust probabilistic framework using particle filters. As a case study, we consider a pneumatic valve from the Space Shuttle cryogenic refueling system. We develop a detailed physics-based model of the pneumatic valve, and perform comprehensive simulation experiments to illustrate our prognostics approach and evaluate its effectiveness and robustness. The approach is demonstrated using historical pneumatic valve data from the refueling system.
PHM, a Continuum: the Past, Present, and Future
Authors: Hess Andrew 
Published: March 2024

This Keynote Presentation will explore PHM from the perspective of being a continuum of ever evolving and increasingly effective capabilities. Background experience, particularly in aerospace applications, will be reviewed going from basic diagnostic capabilities to the evolution of the Prognostics and Health Management (PHM) concept. The present state-of-the art of advanced diagnostic and prognostic capabilities; including physics of failure, actual life remaining and prediction models will be explored. Current predictive analytic capabilities will be discussed as they are being applied to platform and component asset management and enterprise-wide solutions. The spread of the PHM concept to many new industry sectors and future applications will be identified. Some significant lessons learned during the evolution of PHM will be cited. The trajectory of future PHM capabilities and applications will be discussed including their use in smart manufacturing and human performance.
Maintenance Analytics, Industrial Data Science and Virtual Commissioning
Authors: Galar Diego 
Published: March 2024

Industrial systems are complex with respect to technology and operations with involvement in a wide range of human actors, organizations and technical solutions. For the operations and control of such complex environments, a viable solution is to apply intelligent computerized systems, such as computerized control systems, or advanced monitoring and diagnostic systems. Moreover, assets cannot compromise the safety of the users by applying operation and maintenance activities. Industry 4.0 is a term that describes the fourth generation of industrial activity which is enabled by smart systems and Internet-based solutions. Two of the characteristic features of Industry 4.0 are computerization by utilizing cyber-physical systems and intelligent factories that are based on the concept of "internet of things". Maintenance is one of the application areas, referred to as maintenance 4.0, in form of self-learning and smart systems that predicts failure, makes diagnosis and triggers maintenance by making use of “internet of things”. Thus, for complex assets, much information needs to be captured and mined to assess the overall condition of the wholesystem including the one from design and manufacturing which obviously contains the physical knowledge. Therefore the integration of asset information during the entire lifecycle is required to get an accurate health assessment of the whole system, and determine the probability of a shutdown or slowdown avoiding black swans and other unexpected or unknown asset behaviors.Moreover, the asset data are not only huge but often dispersed across independent systems that are difficult to access, fuse and mine due to disparate nature and granularity. If the data from these independent systems are combined into a common correlated data source, these new sets of information will add value to the individual data sources. This talk will discuss the possibilities that lie within applying the maintenance analytics concept by the means of virtualization i.e virtual commissioning of the assets through data fusion and integration from a systems perspective.
MCMC-based Efficient Maintenance Plan Decision
Authors: Shimada Junya , Sakajo Satoko 
Published: March 2024

In recent years, it has been an essential policy to monitor real-time health states of facilities and determine when to perform maintenance in order to ensure the high operation atio and improve work efficiency. In this paper, target facilities diagnose their own health states by analyzing timeseries sensor data and transmit warning data and failure data to the monitoring center. These data include date and time of occurrence and warning/failure code which identifies the factor. Utilizing these data, we propose an MCMC-based maintenance plan decision to reduce the failures and the workloads. Firstly, state-based warning patterns which are composed of several warning codes are extracted. At that time, to avoid the state explosion, only warning patterns which are closely related to failure occurrence are extracted based on the time interval from warning states to failure state. Secondly, warning patterns are modeled based on N-th order Markov model. Finally, maintenance plan is decided based on failure probability. Experiment to evaluate whether the facilities can be maintained before failure occurs proved that this approach could actually reduce the number of failures and the frequency of dispatches of maintenance workers.
Bayesian inferences of damage index and damage growth model based on on-site measurement data of steam turbine
Authors: Choi Woosung , Oh Hyunseok , Youn Byeng D. , Kim Namho 
Published: March 2024

Accurate prediction of remaining useful life (RUL) of plant turbine is a major scientific challenge for effective operation and maintenance in the power plant industry. This paper proposes an RUL prediction methodology that incorporates a damage index into the damage growth model. Bayesian inference technique is used to estimate the probability distribution of a damage index from on-site hardness measurements with uncertainties. A Bayesian approach to the damage growth model is proposed for aged steam turbines and the predictive distribution of the damage index is estimated using its mean and standard deviation. As a case study, real steam turbines in power plants were used to demonstrate the effectiveness of the proposed Bayesian approach. The results from the proposed damage growth model can be used to predict the RULs of the steam turbines of power plants regardless of load types (peak-load or base-load) of the power plant.
Combustion and Resilient Mounting Condition Diagnostics thru Structural Vibration Monitoring of a Diesel Generator Set
Authors: Barro Ronald D , Lee Don Chool , Son Seok Man , Kim Hee Soo 
Published: March 2024

Diesel engine real time condition can normally be depicted by its operational parameters. Condition management, on the other hand, can keep track of the machines’ status on a long term approach utilizing vibration amplitude and resonance. The mounting support condition along with cylinder combustion pressure excitation influences the diesel engine structural vibration dynamics that may lead to component damage and misalignment. As such, engine mounting condition-based monitoring as a tool can be applied to continuously check on its damping limitations brought by material deterioration. In this paper, a global vibration measurement in accordance with ISO 13373-1 with the measuring points and direction done in accordance with ISO8528-9 was carried on a large diesel generator set installed in a power plant. The test engine is coupled on a generator and fitted with a torsional damper. Vibration analysis established the occurrence of engine structural vibration phenomena at lower frequency range (<200Hz). It was also confirmed that the actual state of the resilient mount can be verified by the structural vibration natural frequency of the engine.
Development of Real-Time Driver's Health Detection System by Using Smart Handle
Authors: LIU Hao , LEE Jae-Cheon , KIM Yoon Nyun , HEO Yun Seok 
Published: March 2024

The number of vehicle accidents due to driver's drowsiness continues to increase. Therefore, prompt and effective detection for driver's health during driving is crucial to improvement of traffic safety. A set of real-time healthdetection system built-in a smart handle for driver is proposed in the research. By monitoring driver’s biological signals, including respiration, hand gripping force, photoplethysmogram (PPG), and electrocardiogram (ECG), driver's health condition (drowsiness) is able to be detected via the developed algorithm. Meanwhile the driver's state of arrhythmia can be diagnosed too. The test results indicate that the developed real-time driver’s health detection system can effectively monitor not only the state of vigilance but also the state of arrhythmia of a driver.
A Study on the Characteristic of Stator Winding Degradation Process and Its Life Estimation of Induction Motors
Authors: Nguyen Viethung , Wang Danwei , Seshadrinath Jeevanand , Ukil Abhisek , Jaiswal Vinay , Verma Nishant , Vaiyapuri Viswanathan , Nadarajan Sivakumar 
Published: March 2024

This paper presents an analysis on the characteristics of the stator winding degradation process. A diagnostic and prognostic parameter, which is derived using the sequence component approach, is proposed. It is estimated using only the measurements of voltages and currents, which are easily obtained, and hence, the method can be implemented in real-time applications. A test is designed for generating stator winding inter-turn fault and accelerating it. The characteristic of the degradation process based on the prognostic parameter is discussed. The collected data is modeled and the remaining useful life (RUL) is estimated.
Running State Evaluation Method of Turbine Bearing Based on Feature Vector
Authors: Zhang Hao , Yun Xianghe , Dang Pengfei , Han Qingkai 
Published: March 2024

Due to the high modal coupling of the cooling turbine bearing in environment control system, it is very difficult to extract the vibration signal feature and construct the recognition model on different feature.Arunning state evaluation method of the turbine bearing is proposed based on the feature vector with limited testing data in this paper. Firstly, aiming at some failure modes in several typical faults of turbine bearing, three time domain feature parameters and seven frequency domain feature parameters are chosen to construct feature vector for discrimination. Then, the feature vectors of different fault testing data are dimensional reduced based on the principal component analysis method. Based on above, the support vector machine (SVM) model of the turbine bearing running state is proposed for monitoring and predicting the occurrence and development of typical turbine bearing failure modes. Experimental results suggest that the bearing running state evaluation method proposed in this paper can improve the prediction accuracy effectively.
Analysis of Big Data Streams to obtain Braking Reliability Information for Train Protection systems
Authors: Pfaff Raphael 
Published: March 2024

Due to the long braking distance of railway systems and the high velocities achieved, railway operation needs to rely on train control systems. At the foundation of these systems are models to predict the motion of the trains, including their anticipated braking curve. Depending on the infrastructure manager, these braking curves need to be achieved with a given safety, which is typically in the rare event region of probabilities.In current settings, it is typical to develop these so called braking curves either by physical modelling of the train followed by a Monte Carlo simulation or following a heuristic approach, mostly based on the high level of safety over the past centuries. However, higher developed train protection and control systems, such as the European Rail Traffic Management System (ERTMS) or the Russian KLUB-U System together with current efforts towards quantitative risk analysis, e.g. the European Common Safety Methods, require a more formal approach to communicate the braking curve of a train between rolling stock and infrastructure. An a priori determined set of braking curves is feasible for trains running in fixed or a limited number of formations, such as multiple unit trains, however in the freight railway system due to its vast amount of different vehicles and possible train setups, the determination of the braking curves is prohibitive. In this work, a procedure is proposed to obtain the variation in braking force from accelerometer data onboard the vehicles. In order to allow for the large amount of data to be expected, the procedure is formalised in MapReduce form. The variation of the braking force from the expected value determined in this way can then be forwarded to a Monte Carlo Analysis using importance sampling methodologies to allow for an online calculation of braking curves based on the safety requirements communicated by the infrastructure manager. It is expected that such a procedure yields shorter braking curves than the safety factors currently proposed, leading to higher commercial speeds and thus higher infrastructure usage.
Simulation of Space Objects And Future Perspective of Mosul's Space Expansion Until 2027 Under The Ca-Markov Model
Authors: Qasim Sahar. S. , Mahmoud Ali. N. 
Published: March 2024

Urban growth simulation models have proven their great effectiveness over years, as through these models a geographic information base is built in which presented to planners and specialists in urban planning, and in light of this, informed and correct decisions are made. Therefore, this research focused on predicting changes in the types of land cover in the city of Mosul from 2007 to 2017 to reach a prediction for the year 2027 using the simulation models available in the IDRISI SELVA program, and through the compatibility between geographic information systems and remote sensing programs. The CA-MARKOV model was employed to predict the size of expected changes in the types of land cover and obtain an objective map signifying the spread spatial organisms. The results showed that the city of Mosul is expected to expand spatially in the category of built-up areas to an area of up to (18) km2, where the constructed areas are expected to occupy an area of up to (143.5) km2, and by (79%) of the city region. It is expected that the city will be overcrowded with urbanization and what remains of barren areas and agricultural areas, are very limited and not commensurate with the increase of the city’s population, as it is expected to reach a number of (2,119,363) people in in the year 2027. Consequently, the research suggested expanding outside the city borders for a distance of 7 km2 in all directions by referring to experts in this field in order for the city to be built on a planned approach that does not distort its shape and grow more green spaces.
ANALISIS STRATEGI PENGEMBANGAN EKONOMI LOKAL MASYARAKAT PESISIR DI DESA LABUHAN BAJO
Authors: Ayunda Irdian Okri Prio , Sumbawati Novi Kadewi , Pamungkas Binar Dwiyanto Pamungkas 
Published: March 2024

This research aims to analyze strategies for optimizing local economic development (PEL) in Labuhan Bajo village, Utan sub-district, Sumbawa district. The research sample was 30 respondents related to local economic development strategies. The data used in this research uses primary data and secondary data, where data is taken by observasing and distributing questionnaires directly with respondents or the best experts and obtaining a clear understanding from existing literature. The analysis technique uses the process hierarchy analysis (AHP) method with the help of the expert choice application. The results of this research show that the priority strategies for optimizing local economic development in Labuhan Bajo village include : 1) Human Resources, 2) The role of government and society, 3) Regional marketing, 4) Capital, 5) Natural resources, 6) Techology.
Keywords: Development; Local economy; coastal; strategy
La relation entre le chirurgien et son patient
Authors: Gagey Olivier 
Published: March 2024

Résumé A partir de son expérience de chirurgien orthopédique, Olivier Gagey esquisse les modalités de cette « navigation à vue » chirurgien-patient qui doit conduire à décider de la pertinence de l’intervention. En perspectives : les possibilités offertes par la chirurgie, les risques jamais totalement éliminés, et la liberté du patient.
Assessing Conservative Treatment Options for Odontogenic Keratocyst in a 12-Year-Old Patient, with 1-Year Follow-up
Authors: Murry Jean N. , Gangwar Anshul , Murry Mongshithung N. 
Published: March 2024

Abstract
The odontogenic keratocyst (OKC) is a frequently developing odontogenic cyst that accounts for 10%–14% of all jaw cysts. Due to the high recurrence rate, aggressive therapeutic techniques such as jaw resection and marsupialization are indicated. Following a conservative marsupialization procedure in which Carnoy’s solution and an iodoform packing were used, the clinical, radiological, and histological evaluation of OKC in a 12-year-old female patient revealed no evidence of recurrence over the subsequent year of follow-up.
Oropharyngeal and not oral cavity cancers form the major head-and-neck cancer burden in North Haryana: A retrospective observational study from a rural comprehensive cancer center
Authors: Bala SVS , Malik Deepika , Gupta Shilpi , Seam Rajeev K. 
Published: March 2024

Background:
Head-and-neck cancers (HNCs) originate at multiple subsites with varying epidemiology and clinical profiles across India.

Objectives:
This study aimed to explore the demographic and clinico-epidemiologic profiles of patients with HNC at our institution.

Materials and Methods:
This retrospective observational study was conducted on the case records of all patients with HNC who were registered between January 2018 and December 2020 at the Department of Radiation Oncology of Maharishi Markandeshwar Institute of Medical Sciences and Research, Mullana, a comprehensive cancer center in rural Northern Haryana, India.

Results:
We enrolled 516 patients in the study. The mean age was 56 years (standard deviation (SD) 12.6), and the male-to-female ratio was 8.6:1. Smoking was reported by 413 (80%) patients, and smokeless tobacco use was reported by only 74 (14.3%) patients. Oropharyngeal cancer (178, 34.5%) was the most common site observed, and the base of tongue (112, 21.7%) was the most common subsite; oral cavity cancer was the second most common primary site, noted in 140 (27.1%) patients. This was contrary to global and national data, wherein oral cavity cancers are the most common. Most patients (226, 43.8%) presented with locally advanced disease, that is, Stage IVA.

Conclusion:
Oropharyngeal cancers are found in higher proportion when compared to oral cavity cancers in this belt of Northern Haryana and Northwestern Uttar Pradesh, owing perhaps to a higher level of smoking than tobacco chewing.