This study addresses a specialized variant of the full-truckload delivery problem inspired by a Turkish logistics firm that operates in the liquid transportation sector. An exact algorithm is proposed for the relevant problem, to which no exact approach has been applied before. Multiple customer and trailer types, as well as washing operations, are introduced simultaneously during the exact solution process, bringing new aspects to the exact algorithm approach among full-truckload systems in the literature. The objective is to minimize transportation costs while addressing constraints related to multiple time windows, trailer types, customer types, product types, a heterogeneous fleet with limited capacity, multiple departure points, and various actions such as loading, unloading, and washing. Additionally, the elimination or reduction of waiting times is provided along transportation routes. In order to achieve optimal solutions, an exact algorithm based on the column generation method is proposed. A route-based insertion algorithm is also employed for initial routes/columns. Regarding the acquisition of integral solutions in the exact algorithm, both dynamic and static sets of valid inequalities are incorporated. A label-setting algorithm is used to generate columns within the exact algorithm by being accelerated through bi-directional search, ng-route relaxation, subproblem selection, and heuristic column generation. Due to the problem-dependent structure of the column generation method and acceleration techniques, a tailored version of them is included in the solution process. Performance analysis, which was conducted using artificial input sets based on the real-life operations of the logistics firm, demonstrates that optimality gaps of less than 1% can be attained within reasonable times even for large-scale instances relevant to the industry, such as 120 customers, 8 product and 8 trailer types, 4 daily time windows, and 40 departure points.

Hayatın çeşitli alanlarında radyofrekans elektromanyetik alanlara (RF-EMA) maruziyet giderek artmaktadır. Çalışmamızda, 5G (6 GHz, 0.08 W/kg SAR) RF-EMA’nın sıçan kan hücrelerinde canlılık, apoptotik (erken, geç) ve nekrotik oranlarına etkilerini araştırdık. Çalışmamızda, ağırlıkları 250-300g arasında değişen 10 adet Wistar Albino türü erişkin erkek sıçan kullanıldı. RF-EMA uygulama öncesi tüm sıçanlardan kardiyak ponksiyon yöntemi ile kan alınarak (2cc) kontrol grubu olarak seçildi. Aynı sıçanlar özel uygulama kafesine yerleştirilerek 6 hafta boyunca 4 saat/gün 6 GHz RF-EMA’ya maruz bırakıldı. RF-EMA uygulama sonrası aynı sıçanlardan 2.kez kan alımı (2cc) yapılarak radyofrekans radyasyon (RFR) grubu olarak seçildi. Sıçan kan hücrelerinde canlı, erken/geç apopitotik ve nekrotik hücre yüzde oranları anneksin-V kiti kullanılarak flow sitometrik yöntemle analiz edildi. RFR grubunda canlı hücrelerin % oranı, kontrol grubuna kıyasla artış gösterirken, erken apopitotik ve nekrotik hücrelerin % oranları azaldığı ve iki grup arasındaki farklılıkların istatistiksel olarak anlamlı olduğu tespit edildi (p

In vehicle routing problems, long-distance transportation poses a significant challenge to the optimization of transportation costs while adhering to regulations. This study investigates a special type of logistics problem that focuses on liquid transportation systems involving full truckload delivery and the rest–break–drive periods of truck drivers over long distances according to the regulations of the United States. Based on an exact solution algorithm, this work combines a long-distance full truckload fluid transportation problem with the concept of truck driver schedules for the first time. The goal is to optimize transportation expenses while managing challenges related to the rest–break–drive periods of truck drivers, time windows, trailer varieties, customer segments, food and non-food products, a diverse fleet, starting locations, and the diverse tasks of vehicles. In order to reach optimality, a construction heuristic and the column generation method were employed, supplemented by several acceleration strategies. Performance analysis, carried out with artificial input sets mirroring real-life scenarios, indicates that low optimality gaps can be obtained in an appropriate amount of time for large-scale long-haul liquid transportation.

The physical and chemical characteristics of microplastics make it easier for contaminants to adhere to the surface of the particles, acting as a vehicle for toxins to reach organisms after ingestion. The "most microbiome" comprises all the microorganisms present in our bodies as a whole because it has a big surface area and provides nutrient-rich components for the digestive system's germs. In this investigation, metagenome analysis was used to determine the impact of long-term administration of High-Molecular Weight-Polyvinyl Chloride microplastics to young Wistar rats on the gut microbiota. Forty adult rats in total were employed, with 15 first-group and 15 second-group experimental groups and 10 controls. Pellets made specifically for feeding rats are produced. Following the procedure, the rats were anaesthetised with ketamine and xylasine before being dissected. Due to the small number of samples, alpha diversity in the gut metagenome study did not demonstrate statistically significant variations, but it did illustrate differences in bacterial diversity and density. In particular, it has been discovered that bacterial diversity is higher in experimental groups. According to the control groups, in the assay groups, the intestinal microbiome, dominated by Escherichia coli, Shigella, and Lactobacillus, was assessed as an increase in metabolic pathways related to microplastic exposure and pathogenicity in general. The findings demonstrate the necessity for extreme caution in the manufacture and use of plastics that pose a risk to the welfare of living things.

Port operations involving ship unloading have traditionally posed significant complexity and have proven difficult to solve optimally using exact methods. This study investigates the long continuous unloading of ships carrying liquid products, where transportation is carried out using full truckload deliveries. For the first time, this work integrates the problem of liquid-based ship unloading with full truckload vehicle routing and truck driver scheduling. The primary objective is to minimize the total transportation costs during the continuous unloading process, while satisfying extra constraints such as driver rest–break–drive regulations, time windows, a heterogeneous fleet structure, and port-specific constraints such as maintaining a minimum number of backup vehicles at the port during unloading. To address this complex problem, a route-based insertion heuristic is employed as an initial step in a column generation framework designed for exact optimization. The approach incorporates a nested label setting algorithm for column generation, enhanced with acceleration techniques involving multi-search strategies, and refined selection methods. Performance analysis, based on artificial datasets closely resembling real-world scenarios and consisting of 112 instances, demonstrates that optimality gaps below 1% can be achieved within computational times considered reasonable in the context of the existing literature, while the total number of customer nodes and the minimum number of required vehicles at the port are at most 100 and 5, respectively.