bluuebunny/crossref_metadata_2025 huggingface dataset:
The Importance of Accurate Boundary Condition in Obtaining Reliable Shearing Stresses on a Torsional Finite Element Simulation
Authors: Martins J. A. , Romão E. C.
Published: June 2022

Many combustion engines and electric motors drive machines or equipment by turning a shaft and thus producing work. As a relevant part of a machine principle, torque transference deserves deep analysis regarding the techniques that determine precisely the Finite Element (FE) boundary conditions that are to be applied. This work presents a shaft loaded with a torque that causes torsion and results in shear stresses in the shaft material. In this context, when designing and calculating a shaft to transfer torque, virtual analysis like FE Analysis (FEA) must replicate the reality as accurately as possible. Indeed, slight changes in load and constraint in a virtual simulation can produce considerably different shear stresses and unrealistic results. This paper aims to demonstrate how distinct boundary conditions for the same torque transference can result in very different results when a simulation does not comply with reality. The results showed the importance of being very attentive when applying loads and constraints on a shaft under torsion while calculating it via FEA.
Development of an Alumni Databank: The Case of Nueva Ecija University of Science and Technology
Authors: Navarro E. C.
Published: June 2022

The Nueva Ecija University of Science and Technology is the third oldest University in Nueva Ecija province. As the year progresses, the University keeps producing thousands of graduates during each academic year. An average of 4,737 individuals graduated from different programs during the past five years. The University is obligated by the Commission on Higher Education to collect up-to-date data and information through the CHECK system. Unfortunately, the office of alumni affairs and placement, which is in charge to collect and manage the graduates' information, does not have an automated alumni database system. This paper presents the development of an alumni databank. The online database record management system for alumni considerably benefits the University's Alumni Affairs and Placement Office, particularly in tracing its graduates and managing graduates' profile information. It can manage alumni profiles, notify graduates of job advertisements, and is capable of generating statistical reports with data analytics. Security measures were also employed to protect against any potential system breach and unauthorized use.
Prioritization of Occupational Accident Causes in the Automotive Manufacturing
Authors: Syed M. Z. , Khalique A. , Idrees M. D. , Jamil A. , Sami A. , Abdullah A. , Sajid N. , Khan K. , Rizvi S.
Published: June 2022

The automotive industry is a significant contributor to the economy. Additionally, it is prone to occupational accidents. The current study focuses on organizational accidents in high-risk activities, particularly occupational accidents in the automobile and manufacturing industries. This investigation aims to rank and quantify the causes of occupational accidents. These reasons are identified through a literature review and are investigated utilizing the Analytical Hierarchy Process (AHP). An AHP model is built based on a literature review. This model created a questionnaire and its evaluation via a survey of experts' opinions. This study shows that the most significant and dominant elements in accidents are human and organizational factors since they receive roughly equal weighting, whereas environmental factors weigh less.
Realistic Determination of Live Loads on Various Reinforced Concrete Structures
Authors: Soomro Z. , Khoso S. , Ali T. , Abbasi S. A. , Ansari A. A. , Naqash M. T.
Published: June 2022

This paper presents various case studies of examined and calculated live loads on reinforced concrete structures. These case studies accumulated information and data of existing structures about their design live loads and acquired detailed drawings showing the reinforcement in their floor slab sections. The actual occupancy loads that act on the floor slabs were assessed, and the ultimate loads that an individual slab section should be able to support were calculated using the methods recommended by ACI, CP-114, CP-110, and the yield line theory. A reinforced concrete slab panel was also tested to check the validity of the theoretically predicted ultimate loads. The results were compared to find a safety margin and, if necessary, recommend lower live load outlines for cost reduction. The case studies showed that there is sufficient margin to reduce design live loads on the floor slabs of residential buildings, especially in multistory apartment blocks. Moreover, it was found that the live loads, especially on residential buildings, could be decreased to two-thirds of the code values without risking floor overloading.
The Effect of Water-Binder Ratio and RHA on the Mechanical Performance of Sustainable Concrete
Authors: Khoso S. , Abbasi S. A. , Ali T. , Soomro Z. , Naqash M. T. , Ansari A. A.
Published: June 2022

Nowadays, the utilization of industrial energy, as well as construction waste, is of high concern. The current paper describes a study of the mechanical properties of cement concrete mixes utilizing Rice Husk Ash (RHA) as a cement substitute. The use of such industrial and agricultural by-products has been the focus of waste reduction for economic, environmental, and technical reasons. In this research, the compressive and split tensile strength of concrete was studied through a 15% substitution of cement with RHA with 0.40, 0.45, and 0.50 water-binder ratios. It has been found that the addition of RHA significantly improves the mechanical properties of concrete for the used water-binder ratios. The ultimate strength in both compressive and tensile strength was observed at a water-binder ratio of 0.50. It has also been observed that as the water to cement ratio increased, higher gains in concrete's compressive and tensile strength were obtained for all curing periods.
An Improved Auto Categorical PSO with ML for Heart Disease Prediction
Authors: Dubey A. K. , Sinhal A. K. , Sharma R.
Published: June 2022

Cardiovascular or heart diseases consist a global major health concern. Cardiovascular diseases have the highest mortality rate worldwide, and the death rate increases with age, but an accurate prognosis at an early stage may increase the chances of surviving. In this paper, a combined approach, based on Machine Learning (ML) with an optimization method for the prediction of heart diseases is proposed. For this, the Improved Auto Categorical Particle Swarm Optimization (IACPSO) method was utilized to pick an optimum set of features, while ML methods were used for data categorization. Three heart disease datasets were taken from the UCI ML library for testing: Cleveland, Statlog, and Hungarian. The proposed model was assessed for different performance parameters. The results indicated that, with 98% accuracy, Logistic Regression (LR) and Support Vector Machine by Grid Search (SVMGS) performed better for the Statlog, SVMGS outperformed on the Cleveland, while the LR, Random Forest (RF), Support Vector Machine (SVM), and SVMGS performed better with 97% accuracy on the Hungarian dataset. The outcomes were improved by 3 to 33% in terms of performance parameters when ML was applied with IACPSO.
Optimization of Load Ranking and Load Shedding in a Power System Using the Improved AHP Algorithm
Authors: Le T. N. , Nguyen H. M. V. , Nguyen T. A. , Phung T. T. , Phan B. D.
Published: June 2022

This paper proposes a method of load ranking and load shedding in a power system based on the calculation of the priority weighting continuity of the power supply of loads and the improved AHP algorithm. The proposed method applies the theories of covariance between objects, correlation, and fuzzy preference to develop a fuzzy preference correlation matrix based on the percentage of Vital Load, Semi Vital Load, and Non-Vital Load at each load bus. This matrix replaces the judgment matrix of the traditional AHP algorithm to form the criteria layers and scheme layers of the problem. The priority weighting continuity of the power supply of loads is continuously calculated and updated according to the load profile and is used to distribute the load shedding power to each load bus. This distribution optimizes the objective function and maximizes the load benefits, thereby minimizing the damages due to load shedding. The traditional AHP method and the proposed method are applied to the IEEE 30 bus system and the result comparison demonstrates the effectiveness of the proposed method.
Sentiment Analysis of Public Tweets Towards the Emergence of SARS-CoV-2 Omicron Variant: A Social Media Analytics Framework
Authors: Mahyoob M. , Algaraady J. , Alrahiali M. , Alblwi A.
Published: June 2022

While different variants of COVID-19 dramatically affected the lives of millions of people across the globe, a new version of COVID-19, "SARS-CoV-2 Omicron," emerged. This paper analyzes the public attitude and sentiment towards the emergence of the SARS-CoV-2 Omicron variant on Twitter. The proposed approach relies on the text analytics of Twitter data considering tweets, retweets, and hashtags' main themes, the pandemic restriction, the efficacy of covid-19 vaccines, transmissible variants, and the surge of infection. A total of 18,737 tweets were pulled via Twitter Application Programming Interface (API) from December 3, 2021, to December 26, 2021, using the SentiStrength software that employs a lexicon of sentiment terms and a set of linguistic rules. The analysis was conducted to distinguish and codify subjective content and estimate the strength of positive and negative sentiment with an average of 95% confidence intervals based upon emotion strength scales of 1-5. It is found that negativity was dominated after the outbreak of Omicron and scored 31.01% for weak, 16.32% for moderate, 5.36% for strong, and 0.35% for very strong sentiment strength. In contrast, positivity decreased gradually and scored 16.48% for weak, 11.19% for moderate, 0.80% for strong, and 0.04% for very strong sentiment strength. Identifying the public emotional status would help the concerned authorities to provide appropriate strategies and communications to relieve public worries about pandemics.
Statistical Modeling of Time Headway on Urban Roads: A Case Study in Baghdad
Authors: Alhamdany M. , Albayati A. H. K.
Published: June 2022

Time headway is an important feature of traffic engineering, determined by measuring the time elapsed between successive vehicles crossing a point on the road. This paper proposes a time headway modeling of urban roads for each lane of the selected sites based on headway distribution. The study was conducted in the capital of Baghdad, Iraq. The Mohamed Al-Qassim and Qanat Al-Jaish highways were chosen to collect field headway data. Data were obtained using image processing and Python for video analysis. Each road consisted of six lanes divided into three lanes in each direction. The three lanes were studied in the forward movement of both highways. Seven flow rates were considered for the headway data to evaluate the flow state for each lane. The EasyFit 5.5 software was used to select an appropriate headway distribution for each flow rate, using a method depending on the Kolmogorov Smirnov test for each lane. The results demonstrated that the proper model per lane was different. The selected distributions were used to develop a model through nonparametric regression using Theil's slope estimator method.
Detecting Mineral Resources and Suggesting a Physical Concentration Flowsheet for Economic Minerals at the Northern Border Region of Saudi Arabia
Authors: Moustafa M. I. , Tashkandi M. A. , El-Sherif A. M.
Published: June 2022

There is a limited number of studies on sand deposit resources of Saudi Arabia, which cover nearly the one-third of the area of the country, whereas most of these studies deal with the environmental rather than the mineralogical or mining aspects. In this paper, and in the effort to detect the mineral resources of the Northern Border Region, the surficial Wadi sediments along the Ar'ar-Sakaka road are studied. The deposits of several Wadies (Al Aqra, Shiban al Hanzaliyat, and Arar) are mixed. The sediments of the collected samples are investigated to determine definite areas characterized by a relatively higher content of heavy minerals and a relatively lower content of carbonate minerals that are also friable enough to be investigated by some of the available physical concentration techniques. A large quantity of the surficial deposits, weighing 4.69 tons was collected from the stretch at the investigated area which is 3km long and 1.5km wide. Evaluation of the heavy minerals content, their types, and their ability for concentration and separation, was conducted. A suggested physical concentration flowsheet was concluded for concentrating and separating the contained economic minerals. The average heavy mineral content is 1.55 wt% and the identified economic minerals are magnetite, ilmenite, hematite, goethite, zircon, rutile, anatase, monazite, and xenotime. The other contained heavy minerals include monoclinic pyroxenes (diopside, and augite), monoclinic amphibole (winchite), and muscovite mica. Dolomite and calcite carbonate are also contained. The concluding results ensure that magnetite, zircon, TiO2 minerals, and monazite are mineable for separation in individual mineral concentrates. Most of the detected economic minerals are recorded in the area for the first time. Monazite, xenotime, and zircon are responsible for some recorded radioactivity in the area.
Fusion Machine Learning Strategies for Multi-modal Sensor-based Hand Gesture Recognition
Authors: Doan H. G. , Nguyen N. T.
Published: June 2022

Hand gesture recognition has attracted the attention of many scientists, because of its high applicability in fields such as sign language expression and human machine interaction. Many approaches have been deployed to detect and recognize hand gestures, like wearable devices, image information, and/or a combination of sensors and computer vision. However, the method of using wearable sensors brings much higher accuracy and is less affected by occlusion, lighting conditions, and complex background. Existing solutions separately utilize sensor information and/or only use sensor information processing and decision-making algorithms over conventional threshold comparison algorithms and do not analyze data or utilize machine learning algorithms. In this paper, a multi-modal solution is proposed that combines information for measuring the curvature of the fingers and sensors for measuring angular velocity and acceleration. The provided information from the sensors is normalized and analyzed and various fusion strategies are used. Then, the most suitable algorithm for these sensor-based multiple modalities is proposed. The proposed system also analyzes the differences between gestures and actions that are almost similar but in fact, they are just normal moving gestures.
Numerical Simulation of a One-Dimentional Non-Linear Wave Equation
Authors: Da Silva Jr. A. G. , Martins J. A. , Romão E. C.
Published: June 2022

In this paper, numerical simulations via regressive and central finite differences of different orders were produced using Fortran code and a one-dimensional non-linear wave equation was solved. The errors obtained during simulations, when using different refinements, were listed and compared in order to determine the validity of the simulation, which demonstrates that the proposed formulation presents satisfactory results.
The Effect of Stator Inter-Turn Short-Circuit Fault on DFIG Performance Using FEM
Authors: Mellah H. , Arslan S. , Sahraoui H. , Hemsas K. E. , Kamel S.
Published: June 2022

Doubly-Fed Induction Generators (DFIG) are operated for wind energy production, and as their capacity is increasing, their safety and reliability become more important. Several faults affect the performance of DFIG. The stator winding Inter-Turn Short-Circuit Fault (ITSCF) is one of the most prevalent electric machine failures. This study examined the stator ITSCF effects on DFIG performance for different cases. The DFIG was designed and engineered using the Finite Element Method (FEM) and the Maxwell software, and was examined in healthy operation and four defective cases with various Numbers of Inter-Turn Short Circuit Faults (NITSCF): 4, 9, 19, and 29. These models allowed the examination of the effects and the comparison of each case separately from the healthy state. The comparison was plotted in Matlab to show the effects of the faults. The novelty of this study was that it investigated the effects of different NITSCF on the performance of DFIG and not only on their effect on the stator current and distribution of magnetic flux density. A better understanding of the short circuit effects on the performance of the DFIG can be exploited for subsequent implementations of early fault detection systems.
Drive Control of a Permanent Magnet Synchronous Motor Fed by a Multi-level Inverter for Electric Vehicle Application
Authors: Giang P. T. , Ha V. T. , Phuong V. H.
Published: June 2022

This paper presents the drive control of a Permanent Magnet Synchronous Motor (PMSM) fed by a multi-level inverter for electric vehicle application. In particular, the advantage of torque mobilization of the PMSM engine has been selected for the electric drive of electric cars. In addition, to improve the transmission quality of electric vehicles to ensure requirements, the T-type three-level inverter will be proposed in the control structure of electric vehicles. Moreover, the challenge of torque entails determining the appropriate physical qualities. Therefore, the design of an active damping and current controller to provide rapid and precise torque response to the induced torsional moment was also conducted. Finally, the results of Plecs simulations prove the correctness of the theoretical research. The simulation results demonstrate the research theory.
Performance Investigation of an Inflatable Solar Dryer with Steel-Can Solar Air Heater for Drying Coffee and Corn
Authors: Oria C. L. , Palconit E. V.
Published: June 2022

Coffee and corn are the two most important crops in the Philippines. One of the most critical stages, where crop management can be improved, is drying. In coffee, a moisture level of 12% is optimum for minimizing quality degradation throughout lengthy storage periods, whereas, corn requires a moisture content of 13%. With the demand for simple and cost-effective drying technologies, an Inflatable Solar Dryer (ISD) was created and adapted using a Hohenheim-type solar tunnel and Salvatierra-Rojas’ study. A mesh wire served as a drying space and was placed inside the ISD to avoid moisture condensation. A clear polyethylene (PE) film is attached to a reinforced black Polyvinyl Chloride (PVC) film by a zipper to produce a drying tunnel. The tunnel does not require a foundation because the pressure generated by a solar-powered fan sufficiently stabilizes it. The ISD also incorporated steel cans as solar air heaters to boost the temperature of entering air into the chamber and gradually provide heated air temperature to the bottom parts of the crops. Crops were scattered on the mesh wire and blended with a rake. Drying in the open sun was also done in parallel for comparison purposes. After protracted drying, both crops reached the required moisture content. The trial found that the weight of both crops was affected by the drying duration. The difference in weight for coffee is 1.1kg, while for corn is 0.5kg exhibiting a significant advantage in ISD.
Hybrid Grey Wolf and Finite Element Method (GWO-FEM) Algorithm for Enhancing High Voltage Insulator String Performance in Wet Pollution Conditions
Authors: Doufene D. , Benharat S. , Bouazabia S. , Bessedik S. A.
Published: June 2022

The presence of wet pollution on the upper surface of a string insulator increases the electric field on the insulator surface, especially at the triple junction (pin-cement, cement-porcelain) as well as at the surrounding air of the insulator. The rise of the electric field leads to the ionization of the air surrounding the insulator. This phenomenon, called corona discharge, is accompanied by several consequences that are harmful to the electricity transmission network, such as electromagnetic interferences, energy losses, visible light, audible noise, and the destruction of materials by erosion. If favorable conditions are gathered, it may even cause the flashover of the insulator. Designing an optimal insulator shape that reduces this electric field value at the triple junction will be an important achievement in enhancing the performance of electrical grids. The objective of this paper is to evolve a hybrid algorithm based on the GWO-FEM for optimizing the shape and the electrical performance of a string insulator. To achieve this purpose, this work is structured in four parts. First, modeling of the insulator string geometry is conducted in Comsol-multiphysics, then FEM computation of the electric field on the polluted surface of the string insulator is completed, and the maximum electric field value at the triple junction is saved as the fitness function that will be sent to the GWO algorithm to be optimized (minimized). The third part of the work is devoted to the coding of the constrained (electrical and geometrical constraints) GWO algorithm in a Matlab interface, and finally, coupling the GWO code with the FEM code. This study is achieved in wet polluted conditions. The results are given in both 2D and 3D representations. From the obtained results we can confirm that the developed GWO-FEM hybrid algorithm for optimizing insulator strings is a very promising tool for designing and enhancing the shape and the electrical performance of insulators.
The Effectiveness of Retrofitting RC Frames with a Combination of Different Techniques
Authors: Saadi M. , Yahiaoui D.
Published: June 2022

During the last two decades, the attention of researchers has been focused on repairing and retrofitting concrete frames to make them more earthquake-resistant. Two methods have been developed to increase the seismic resistance of previously undamaged structures before they are subjected to an earthquake. The first is through the addition of new structural members, such as steel braces and the second is by selectively strengthening structural elements, for instance through steel caging. Seismic response analysis results have been utilized in multi-story RC frames that were designed without seismic design criteria. This study aims to determine whether the retrofitting technique is effective based on comparisons between steel braces, steel cages, and their combinations. The seismic performance is defined by the seismic code for Algeria RPA 2003 according to the latest recommendations. Static nonlinear analysis was used to compare seismic responses of existing non-ductile reinforced concrete RC frames under a variety of retrofit schemes. The results show that retrofitting with steel caging gives excellent performance in terms of ductility and low shear capacity. The retrofitting with steel bracing increased the shear capacity but led to a severe ductility deficiency. The retrofitting structure combined with steel bracing and steel caging shows good performance in shear capacity and ductility. Using the Zipper system (steel bracing) and V system in combination with steel caging gives similar results to the RPA model.
Analysis of awareness and acceptance of SARS-CoV-2 vaccination among pregnant women
Authors:   Department of Gynecology and Obstetrics, 3rd Medical Faculty, Charles University and University Hospital Královské Vinohrady, Prague, Czech Republic, Zapletal Jan , Drochýtek Vít , Vařbuchtová Andrea , Halaška Michael , Rob Lukáš
Published: June 2022

Vaccination is a widely discussed topic during pregnancy and breastfeeding. Due to newly emerging covid-19 variants, vaccination has become more and more important. These new variants pose a risk for the development of maternal and neonatal complications. The aim of this study was to conduct a survey among pregnant women to assess the awareness of covid-19 and vaccination. Among the respondents, 58% were vaccinated with at least one dose and 51% were fully vaccinated. Also, 77% percent of responders thought that there was an increased risk of severe covid-19 infection among pregnant women versus non-pregnant women, while 71% were aware of the risk of fetal death associated with covid-19 infection. Although the rate of awareness among pregnant women is quite high (up to 87%), it is crucial to present the advantages of vaccination among gynecologists and doctors of other specialties as they are able to motivate women to be vaccinated. Key words: covid-19 – pregnancy – vaccination – acceptance– awareness of pregnant women about covid-19
Current data on the efficacy of prophylactic HPV vaccination in the primary prevention of cervical lesions
Authors:   Department of Gynecology and Obstetrics, First Medical Faculty, Charles University and University Hospital Bulovka, Prague, Czech Republic, Sehnal Borek , Driák Daniel , Nipčová Džubáková Monika , Sláma Jiří
Published: June 2022

Objective: A review of current knowledge on the efficacy of HPV (human papillomavirus) HPV vaccination against pre-cancers and cervical cancer. Methods and results: HPV infection is probably the most common sexually transmitted disease and the cause of approximately 5% of all human cancers. Currently, three prophylactic vaccines against HPV infection are on the market: bivalent Cervarix, quadrivalent Gardasil (formerly Silgard) and nonavalent Gardasil9. The Czech Republic is one of the countries with a national vaccination program where HPV vaccination is covered by health insurance for girls and boys aged 13–14 years. Extensive scientific data on the efficacy of the vaccines clearly demonstrate significant efficacy against the development of cervical pre-cancers for all three vaccines. According to a high-certainty evidence of the Cochrane database, the efficacy of HPV vaccines against cervical intraepithelial neoplasia grade 2 or 3 associated with HPV 16, 18 compared with placebo in girls and women aged 15–26 is 99%. There is also moderate-certainty evidence that HPV vaccines reduce the risk of adenocarcinoma in situ for approximately 90% for the same population. Initial data also demonstrate a direct impact on reducing the incidence of invasive cervical cancer in vaccinated individuals. In addition, quadrivalent and nonavalent vaccines are highly effective in preventing genital warts. Conclusion: All three available prophylactic vaccines show high efficacy in preventing the development of cervical lesions. Effi cacy is highest against lesions caused by vaccine genotypes and the highest efficacy is achieved in the HPV naive population. Key words: human papillomavirus – HPV – vaccination – HPV vaccine – efficacy – cervical precancerous – cervical carcinoma
Crypto Currency Market Price Prediction using Data Science Technique
Authors: Sneha S  , Monisha S  , J. Jayashankari  , Dr. M. Preetha
Published: June 2022

Cryptocurrency is commonly called as digital currency where the coin ownership records are stored in an electronic ledger existing in a form of a computerized database using strong cryptography approach which is used to maintain the creation and updation of an addition coin in a market, it is also used to check and maintain the current ownerships of the coins. Nowadays cryptocurrency is used in largescale and there is a sudden rise or decrease in their share and it is difficult to predict the price of the crypto currency. In this project a machine learning model is built to predict the price of crypto currency. The application of data science process is applied for getting the better model for predicting the outcome. Variable identification and data understanding is the main process in building the successful model. Different machine learning algorithms are applied on the pre-processed data and the accuracy are compared to see which algorithm performed better other performance metrics like precision, recall, scores are also taken in consideration for evaluating the model. The machine learning model is used to predict the crypto currency outcome.
A Landscape of Logics beyond the Deduction Theorem (and Moore’s Paradox)
Authors: Van Fraassen Bas C.
Published: June 2022

Philosophical issues often turn into logic. That is certainly true of Moore’s Paradox, which tends to appear and reappear in many philosophical contexts. There is no doubt that its study belongs to pragmatics rather than semantics or syntax. But it is also true that issues in pragmatics can often be studied fruitfully by attending to their projection, so to speak, onto the levels of semantics or syntax — just in the way that problems in spherical geometry are often illuminated by the study of projections onto a plane. To begin I will describe a potentially vast landscape of logics of a certain form, with some illustrations of how they appear naturally in response to some problems in philosophical logic. Then I will turn Moore’s Paradox into logic, within that landscape, and show how far it can be illuminated therein.
Wie junge Künstler ihre Liebe zum Büttenpapier entwickelten!
Authors: Schmid Wolfhard H. A.
Published: June 2022

Während ihres Studiums an der Münchner Akademie der Bildenden Künste AdbK kamen die beiden Gründer der Münchner Papierwerk Glockenbach GbR Raphael Grotthuss und Annamaria Leiste das erste Mal mit Büttenpapier in Berührung.
Nordbayern will Umsatz mindestens halten
Authors: Stockburger Manfred
Published: June 2022

Bis einschließlich April verzeichnet Edeka Nordbayern-Sachsen-Thüringen beim Einzelhandelsumsatz ein Minus von 2,8 Prozent. Regionschef Sebastian Kohrmann ist dennoch zuversichtlich, dass er am Jahresende ein Plus zeigen kann.
Müller kämpft mit Fluktuation
Authors: Müller Annette
Published: June 2022

Unternehmer Erwin Müller greift verstärkt ins operative Geschäft ein. Nach dem Vertriebschef wirft auch Finanzchef Christian Remy hin. Das veranlasst CEO Günther Helm, in die Offensive zu gehen: Er bekräftigt, an Bord zu bleiben.
Dalli baut neues Geschäftsfeld auf
Authors: Brändlein Philip
Published: June 2022

Der Waschmittel- und Körperpflegehersteller Dalli investiert in sein Geschäft mit Industriekunden: Großabnehmer sollen dem Unternehmen helfen, den angekündigten Kahlschlag in der Handelsmarkenproduktion auszugleichen. Schon im nächsten Jahr soll Dalli wieder profitabel sein.
Dahm hinterlässt Baustellen bei Bitburger
Authors: Holst Jens
Published: June 2022

Bitburger-Chef Axel Dahm muss gehen. Von seinem Nachfolger wird mehr Konzentration auf den Heimatmarkt gefordert.
Stau bei Spargel und Erdbeeren
Authors: Wessel Andrea
Published: June 2022

Die Spargelsaison läuft noch vier Wochen und Freiland-Erdbeeren sind gerade neu im Handel, dennoch ziehen die Marktbeteiligten schon jetzt eine enttäuschende Bilanz für dieses Jahr. Dabei kommt auch der Lebensmitteleinzelhandel nicht gut weg.
Risikoanalyse wird Pflichtprogramm
Authors: Bender Hanno
Published: June 2022

Im Bundesamt für Wirtschaft und Ausfuhrkontrolle (BAFA) hat der Beirat zur Umsetzung des Lieferkettensorgfaltspflichtengesetzes seine Arbeit aufgenommen. Für Unternehmen und Verbände sind noch viele Fragen offen.
„Die Antwort ist nicht die richtige“
Authors: Krost Heidrun
Published: June 2022

Zwischen Rohstoffknappheit und der Praktikabilität in der Filialorganisation – Rossmann-Einkäufer Michael Naujock sagt, warum das Geschäftsmodell des Berliner Startups Circleback nicht ganz zu Ende gedacht ist.
Drogisten sind zurück auf Kurs
Authors: Krost Heidrun
Published: June 2022

Drogeriemärkte sind vom Umsatz wieder nahezu auf Vor-Corona-Niveau. In der jüngsten Vertriebslinienbetrachtung von Information Resources (IRI) haben auch Discounter Boden gut gemacht.
Aldi Süd interessiert sich für Scan&Go
Authors: Rode Jörg
Published: June 2022

Aldi Süd beschäftigt sich verstärkt mit Self-Scanning per Smartphone des Kunden. Kaufland startet sogar den Rollout von „K-Scan“ in Deutschland. Bei Rewe, Penny, Netto, Edeka und Globus wird Scan&Go schon in relativ vielen Märkten angeboten.
Passendes Sortiment für jeden Ort
Authors: Rode Jörg
Published: June 2022

Die neuen Möglichkeiten, Regalplanung und Absatzprognose nahtlos zu verbinden, öffnen Filialisten den Weg zu marktindividuellen Sortimenten.
Wettbewerb um Fleischalternativen
Authors: Rück Daniela
Published: June 2022

„The New Glocal“, „Fusion“ und ein Schwerpunkt zu Fleisch beziehungsweise -ersatz sind nur einige der Themen, die Hanni Rützler im 10. Food Report – vor dem Hintergrund multipler Krisen und ihren Auswirkungen – beschreibt.
Händler lassen bei Marken kaum Preiserhöhungen zu
Authors: Konrad Jörg
Published: June 2022

Die deutschen Verbraucher stöhnen: Generell wurden viele Produkte in den vergangenen Wochen teurer. Der Vergleich von Marken und Handelsmarken zeigt, dass es insbesondere die Eigengewächse der Lebensmittelhändler sind, die künftig mehr kosten.
Bahlsen setzt Keksmarke Leibniz in Szene
Authors: Rentz Ingo
Published: June 2022

Bahlsen rückt die Keksmarke Leibniz mit einer internationalen Werbekampagne in den Vordergrund. Darin geht es aber nicht in erster Linie um das Produkt, sondern um die, die es kaufen sollen.
„Familienführung prägt unsere Kultur“
Authors: Wittenhagen Julia
Published: June 2022

Das Team von Dirk Marek, Personalleiter bei Haribo Deutschland, fand den Karrieretag gut. An der Attraktivität als Arbeitgeber hat der Fruchtgummi-Hersteller in der Pandemie gefeilt.
Endlich wieder Präsenz-Bewerbertage
Authors: Wittenhagen Julia
Published: June 2022

Der persönliche Kontakt zu Bewerbern lockte nach über zwei Jahren Pause Bahlsen, Tönnies, PreZero, Storck, Heristo, Dr. Wolff und Haribo zum 25. Karrieretag nach Bielefeld. Das Bauunternehmen Goldbeck trommelte als Gastgeber selbstbewusst für die Vorzüge von Familienunternehmen.
Mehr Gas geben
Authors: Hillemeyer Judit
Published: June 2022

Das Land Nordrhein-Westfalen steht vor großen Herausforderungen. Mit dem Krieg in der Ukraine ist vieles aus dem Takt geraten. Die Kosten schnellen in vielen Bereichen in die Höhe. Energiesicherheit ist für die Lebensmittelbranche von existenzieller Bedeutung.
Regionalität ist essenziell für Westfleisch
Authors: Hillemeyer Judit
Published: June 2022

Seit mehr als 90 Jahren ist die Produktion von Fleisch und Fleischwaren das Kerngeschäft von Westfleisch. Der Betrieb profiliert sich mit dem Herkunftskonzept „direkt von Bauern“.
Metten lanciert Bio-Würste
Authors: Hillemeyer Judit
Published: June 2022

Metten im Sauerland ist ein klassischer Fleisch- und Wurstwarenproduzent. Nun hat das Familienunternehmen erstmals Würste in Bio-Qualität auf den Markt gebracht.
Klimaschutz zählt für Pahmeyer
Authors: Hillemeyer Judit
Published: June 2022

Das Unternehmen Pahmeyer produziert küchenfertige Kartoffelspezialitäten. Zu schaffen machen dem Hof rasant steigende Kosten in vielen Bereichen.
Beschaffung von Rohstoffen ist herausfordernd
Authors: Hillemeyer Judit
Published: June 2022

Mit dem russischen Krieg in der Ukraine steigen die Kosten für das Familienunternehmen Steinhaus in vielen Bereichen. Preis, Absatz und Beschaffungslogistik müssen kontinuierlich justiert werden.
Zwischen Headbang und Moshpit
Authors: Hillemeyer Judit
Published: June 2022

Mit dem Überfall auf die Ukraine hat auch Warsteiner das Exportgeschäft nach Russland eingestellt. Die Brauerei-Gruppe konzentriert sich in Deutschland auf regionale Spezialitäten und alkoholfreies Bier.
Verbraucherschützer fordern Preistransparenz
Authors: Bender Hanno , Queck Matthias
Published: June 2022

Eine Markttransparenzstelle soll die Lebensmittelpreise beobachten, fordern Konsumentenvertreter. So könnten auch kostendeckende Erzeugerpreise für Bauern gewährleistet werden.
Keine Lösung für VLOG-Label in Sicht
Authors: Bender Hanno
Published: June 2022

Das Label „Ohne Gentechnik“ steht aufgrund von Kostensteigerungen bei gentechnikfreien Futtermitteln weiterhin unter Druck. Ausnahmeregelungen lassen auf sich warten. Der Verband Lebensmittel ohne Gentechnik (VLOG) sieht keine Beschaffungsprobleme.
„Die Präsenz sorgt für einen Push am POS“
Authors: Nusser Bernd
Published: June 2022

Bereits zum viertel Mal war die Marke Emmi Caffè Latte als Partner der Casting-Fernsehshow des Senders ProSieben dabei. Es sei die „optimale Plattform“ für den Ready-to-Drink-Kaffee.
Weizenmärkte voller Adrenalin
Authors: Lachmann Filip
Published: June 2022

Der Ukraine-Krieg bleibt das marktbeherrschende Thema für den Agrarhandel. Ausgiebige Trockenheit und hohe Temperaturen gefährden die Pflanzenbestände im Rest der Welt.
Raps fehlt vorerst
Authors: Behme Dagmar
Published: June 2022

Raps bleibt am Weltmarkt teuer. Wo sich die Kurse ansiedeln werden, entscheiden vor allem die Ernteaussichten und die Biokraftstoffquote.
Schwierige Lage an den Fleischmärkten
Authors: Hermannsen Horst
Published: June 2022

Hohe Produktionskosten machen der gesamten Branche zu schaffen. Der Ukraine-Krieg lässt die Preise für Energie steigen. Futtergetreide ist knapp und teuer.
Saatgutanbieter unter Druck
Authors: Schaal René
Published: June 2022

Magdeburg. Die hohen Kosten für Betriebsmittel und Energie machen auch vor der Saatgutbranche nicht halt. Schon jetzt sind negative Auswirkungen auf Erzeugung und Transport von Saatgut zu spüren. Landwirte müssen mit Engpässen rechnen.
Polnischer Weizen feiert Geburtstag
Authors: Behme Dagmar
Published: June 2022

Frankfurt a.M. Etliche Landwirte und Händler in Polen wollen Getreide in die neue Ernte mitnehmen. Im Osten des Landes entsteht Preisdruck durch Lieferungen der Ukraine.
Elektronische Funktionalitäten auf intelligenten Verpackungen – eine ökologische Perspektive
Authors: Hakola Liisa , Smolander Maria
Published: June 2022

Globale Trends zwingen die Elektronikindustrie dazu, ihre Umweltbelastung zu verringern. Ein Beitrag von Liisa Hakola und Maria Smolander vom VTT Technical Research Centre of Finland
An investigation of the rate of change of CD4 and CD8 T lymphocyte counts and viral loads in HIV infected patients on immune boosters
Authors:   , Mkhize Brenda Thabisile
Published: June 2022

In 2004, it was reported that KwaZulu-Natal had the greatest number of HIV infected people, approximately 1.8 million people, of whom an estimated 450 000 were in need of antiretroviral drug therapy based on their Cluster of Differentiation 4 (CD4) counts and clinical status. Studies on the success of antiretroviral drugs in improving the quality of life in HIV infected individuals have been extensively performed and published. However, there are no published data on the effect that immune boosters have in improving the quality of life in such persons. Considering the side effects, toxicity, multi-drug regimens and drug resistance problems associated with antiretroviral therapy, alternative or supplementary therapies may play an important role in improving the quality of life in HIV infected people. Such therapy might help in situations where some patients who qualify for antiretroviral treatment are unable to access them because of several reasons such as long waiting lists, travelling costs, unwilling to take antiretroviral drugs, etc. Some patients have reservations in taking antiretroviral drugs. The stigma associated with the disease may be a major factor. The aim of this study was to investigate the change in the immune status of HIV infected patients that were on the Inochi New Medicine immune booster, as well as, to assess the safety and efficacy of this immune booster in improving the patients’ quality of life.
The efficacy of a homoeopathic complex (Aconitum napellus 30CH, Arnica montana 30CH and China officinalis 30CH) on the transport of broiler chickens to the abattoir, in terms of mortality rate, damage and weight loss
Authors:   , Eatwell Alan Rowan
Published: June 2022

The purpose of this placebo-controlled study was to evaluate the effect of a Homoeopathic complex (Aconitum napelus 30CH, Arnica montana 30CH and China officinalis 30CH) on broiler chickens being transported to the abattoir.
The effectiveness of an oral homoeopathic preparation of selenium sulphide 12X in the management of dandruff (seborrheic dermatitis of the scalp)
Authors:   , Kent Keri
Published: June 2022

This double-blind, placebo controlled study evaluated the effectiveness of Selenium sulphide 12X in the management of dandruff, as measured by a Visual Analogue Scale.
A study of the proving of Naja mossambica with a subsequent comparison of an existing proven homoeopathic remedy; Naja tripudians in terms of the mental and dream symptomatology
Authors:   , Smal Lorna
Published: June 2022

The aim of this comparative study was to determine the effects of the thirtieth centesimal (30CH) potency of the venom of Naja mossambica on healthy individuals with emphasis on the mental and dream symptoms produced by the drug, which were compared to those of Naja tripudians (an existing homoeopathic remedy) so that it may be prescribed according to the Law of Similars, as required by homoeopathic science.
YARGITAY’IN 12.11.2021 TARİHLİ VE 2020/2 E., 2021/3 K. SAYILI İÇTİHADI BİRLEŞTİRME BÜYÜK GENEL KURULU KARARI ÇERÇEVESİNDE KOOPERATİFLERİN TACİR NİTELİĞİ
Authors: Aydın Sema , Kaplan Hasan Ali
Published: June 2022

Bu makalede, Yargıtay’ın 12.11.2021 tarihli ve 2020/2 E., 2021/3 K. Sayılı İçtihadı Birleştirme Büyük Genel Kurulu Kararı çerçevesinde kooperatiflerin tacir niteliği incelenecektir. Kooperatiflerin tacir sayılıp sayılmayacakları yıllardır öğreti ve uygulamada çeşitli yönleri ile tartışılmaktadır. Kooperatiflerin hukuki niteliği konusundaki tartışmaların ortaya çıkışı, 1969 tarihli 1163 sayılı Kooperatifler Kanunu’nun yürürlüğe girmesinden öncesine dayanmaktadır. Nitekim konu ile ilgili olarak kooperatiflerin ticaret şirketi ve tacir niteliğinde olduğu sonucuna varılan 1945 yılında verilmiş bir içtihadı birleştirme kararı da bulunmaktadır. Türk Ticaret Kanunu’nda ticaret şirketleri arasında düzenlenen kooperatiflerin, Kooperatifler Kanunu’nda “ortaklık” olarak belirtilmesine rağmen, açıkça ticari nitelikte olduğunun belirtilmemiş olması, kooperatiflerin kazanç elde etmek ve paylaştırmak amacının bulunup bulunmadığı ve tacir ve tacir olmaya bağlı sonuçların kooperatifler hakkında uygulanmasının uygun olup olmayacağı noktasında gerek doktrinde gerekse mahkeme kararlarında görüş ayrılıkları oluşmuştur. Mahkeme içtihatları arasındaki görüş ayrılıkları ve farklı uygulamalar nedeniyle İçtihadı Birleştirme Büyük Genel Kurulunca 2021 tarihli içtihadı birleştirme kararı alınmıştır. Sözü edilen karar, ilgili mercilerin görüşleri ve karşı oy yazısı da dikkate alınarak yasal hükümler ve bilimsel görüşler çerçevesinde değerlendirilecektir.
O DIREITO DE RESPOSTA COMO INSTRUMENTO DE PARIDADE DE ARMAS NA DISPUTA ELEITORAL
Authors: Santos Cecília Alves Bispo dos , Nascimento Júnior George Andrade
Published: June 2022

O presente estudo traz uma análise dos artigos 58 e 58-A da Lei das Eleições (Lei nº 9.504/97), que dispõe sobre o direito de resposta, e como a sua ausência agride diretamente os princípios constitucionais da democracia e soberania. Na sociedade brasileira a disseminação de fake news se amplia no período eleitoral, o que se mostra muito prejudicial, uma vez que pode influenciar de forma crucial o debate público, induzindo eleitores a erro. O objetivo principal da pesquisa é conhecer o instituto do direito de resposta, que é assegurado pelo artigo 5º, V, da Constituição de 1988, e demonstrar a sua relevância durante o debate eleitoral, partindo-se de pressupostos do direito ao contraditório, passando pela liberdade de informação e direito à informação, com a intenção de compreender melhor o instituto do direito de resposta e, assim, contribuir para que ele seja aplicado da melhor maneira possível, com as consequências sociais desejadas.
Sizing ice hydrometeor populations using dual-wavelength radar ratio
Authors: Matrosov Sergey Y. , Korolev Alexei , Wolde Mengistu , Nguyen Cuong
Published: June 2022

Abstract. Dual-wavelength (3.2 and 0.32 cm, i.e., X- and W- radar bands) radar ratio (DWR) measurements in ice clouds and precipitation using the Canada’s National Research Council Institute for Aerospace Research airborne radar are compared to closely collocated particle microphysical in situ sampling data in order to develop relations between DWR and characteristic hydrometeor size. This study uses the radar and in situ data sets collected during the In-Cloud ICing and Large-drop Experiment (ICICLE) campaign. Since atmospheric particle scattering at X-band is predominately in the Rayleigh regime and the W-band frequency is the highest frequency usually used for hydrometeor remote sensing, the X-W-band combination provides relatively strong dual-wavelength reflectivity difference. This study considers radar and in situ measurements conducted in relatively homogeneous cloud and precipitation conditions. Measurements show that under these conditions, the difference between the X-band radar reflectivities observed with vertical and horizontal pointing of the radar beam are generally small and often negligible. However, W-band band reflectivities at vertical beam pointing are, on average, larger than those for horizontal beam pointing by about 4 dB, which is a non-Rayleigh scattering effect from oriented non-spherical particles. A horizontal beam DWR – mean volume particle size, Dv, relation provides robust estimates of this characteristic size for populations of particles with different habits. Uncertainties of Dv retrievals using DWR are around 0.6 mm when Dv is greater than approximately 1 mm. Size estimates using vertical radar beam DWRs have larger uncertainties due to smaller dual-wavelength signals and stronger influences of hydrometeor habits and orientations at this geometry of beam pointing. Mean relationships among different characteristic sizes describing the entire particle size distribution (PSD) such as Dv, and other characteristic sizes used in different applications (e.g., the mean, effective, and median sizes) are derived, so the results of this study can be used for estimating different PSD characteristic sizes.
Synoptic weather patterns conducive to lightning-ignited wildfires in Catalonia
Authors: Pineda Nicolau , Peña Juan Carlos , Soler Xavier , Aran Montse , Pérez-Zanón Núria
Published: June 2022

Abstract. Wildfires cause substantial losses to socio-economic and
natural assets, especially in Mediterranean climate regions. Despite human
activity being the main cause of wildfires in Mediterranean European countries,
lightning-ignited wildfires should also be considered a major disruptive
agent as they can trigger large fires. In addition, recent studies on the
potential climate change effects on wildfires pointed out that
lightning-ignited wildfires may gain relevance in Mediterranean areas in the
years to come. The present study analyses the synoptical weather patterns
favouring lightning-ignited wildfires in Catalonia (NE Iberian Peninsula).
Being able to identify areas with an elevated lightning-ignition survival at
daily timescales would be of great assistance to wildfire management
agencies, i.e. locating ignitions and potential holdover fires, preparing
for days with multiple ignitions or routing detection flight paths. It is
worth noticing that one of the reasons that lightning-caused wildfires are
difficult to manage is that they can survive for several days after the
ignition, emerging days later once surface vegetation becomes dry enough to
support sustained combustion. For this reason, in a first step, a reliable
lightning–wildfire association is needed to properly identify the date and
time of the fire starter for each wildfire. Afterwards, the circulation types
on the days of ignition are analysed. The study relies on a dataset of 870
lightning-ignited wildfires, gathered by the Forest Protection Agency of the
autonomous government of Catalonia between 2005 and 2020. Lightning data were
provided by the Lightning Location System operated by the Meteorological
Service of Catalonia. Results show that lightning-ignited wildfires in
Catalonia are related to a typical synoptic weather pattern dominated by a
short-wave trough at 500 hPa, with three distinct associations: an Iberian
thermal low (51 % of the fires), a northern flow (24 %) and
prefrontal convection (13 %).