IP Model Research Articles

Accurate Power Estimation Identity for DSP Blocks Targeted to FPGAs

Nowadays, the main challenge in front of system designers is to design power-efficient systems with reduced design turnaround time. It can be achieved in two ways, firstly, utilize off-shelf components (Intellectual Property cores) along with user-defined IPs. Secondly, estimate the power at an early stage of the design cycle. Therefore, this paper represents the power estimation of Cascaded and Non-Cascaded DSP blocks based on IP modeling. The DSP blocks are designed using a blend of embedded and user-defined IP cores. Curve-fitting and regression-based models for power evaluation have been created for each IP core. The power of the complete DSP block is estimated using identity projected by Elleouet et al. by incorporating the power values of each IP core obtained from the regression-based models. The models have been validated for accuracy using the power values gained from the commercial tool (Vivado design suite (2014.2)). From the analysis, it has been found that the identity is providing inaccurate results for cascaded DSP blocks. Therefore, in this work, a new identity has been proposed that has been estimating the power of the cascaded systems accurately and also in alignment with the results of a commercial tool.

Multi-depot electric vehicle scheduling in in-plant production logistics considering non-linear charging models

Electric vehicle scheduling is concerned with assigning a fleet of electrically powered vehicles to a set of timetabled trips. Since the range of these vehicles is limited, charging breaks need to be scheduled in-between trips, which require detours and time. This paper presents a novel electric vehicle scheduling problem with multiple charging stations in an in-plant logistics setting with the objective of minimizing the required fleet size. Contrary to previous works, we consider constant, linear and non-linear battery charging functions, which, among other things, allows to model realistic non-linear lithium-ion battery charging. We present an integer programming model and an exact branch-and-check solution procedure, which is based on decomposing the problem into a master and a subproblem. The former is concerned with assigning vehicles to trips while relaxing the battery constraints. The latter schedules charging breaks and checks if the master problem’s solution is feasible with regard to the non-relaxed battery constraints. Our computational tests show that solving the IP model with a standard solver (CPLEX) is inferior to the branch-and-check approach, which generally performs well even for practically relevant instance sizes. Furthermore, we derive some insights into the influence of the charging mode and maximum battery capacity on the required fleet size. Lastly, we investigate the effects of the number of warehouses (with respective charging stations).

Efficient Computation and Informative Estimation of h+ by Integer and Linear Programming

We investigate modeling cost optimal delete-free STRIPS Planning by Integer/Linear Programming (IP/LP). We introduce two IP models and their LP relaxations based on a recently formulated representation of relaxed plans, named causal relaxed plan representation. The new models are produced by enforcing acyclicity in so-called causal relation graphs using vertex elimination and time labeling methods. We empirically show that while the vertex elimination based method outperforms the time labeling based method and all previously introduced domain independent methods for computing the exact values of h+, the time labeling based LP model is faster to solve compared to its vertex elimination based alternative, making it more suitable for using as heuristic function for optimal planning. We also theoretically analyze the admissible heuristic functions obtained by solving our LP models, and prove that the vertex elimination based heuristic is at least as informative as the time labeling based heuristic. Moreover, our empirical analysis shows that our vertex elimination based heuristic, which is a novel admissible estimation of h+, often has information complementary to that of the LM-cut heuristic.

Emotion and International Business: Theorising Fear of Failure in the Internationalisation.

The road to internationalisation is paved with risk, uncertainty, the possibility of failure, and the Coronavirus Disease-19 (COVID-19) phenomenon. However, the process of internationalisation (IP) theory treats an individual decision-maker as a “black box.” Emotions are largely ignored by international business (IB) researchers. This study offers conceptual thoughts on the role of fear of failure in the process of internationalisation. It argues that managers experience this emotion in making internationalisation decisions for a firm, which is an area of study that requires further understanding. Following the content analysis method in the literature review and a theory-based adaptation approach to complete the conceptualisation, this manuscript joins the scholarly conversations on “connecting the IP model to people” and “emotion and internationalisation.” Focussing on fear of failure as a new perspective, this manuscript contributes to IB literature by suggesting new avenues in understanding decision-making about international activities by embracing psychological insights. It also contributes to IB practitioners by offering implications for understanding one’s emotional state and its effect on decision-making about internationalising ventures.

Coordinating truck appointments with container relocations and retrievals in container terminals under partial appointments information

This paper introduces a new scheduling approach that optimizes truck appointments, truck service order, and container relocations at the yard through a bi-objective IP model with a lexicographical objective function. The proposed approach serves as a proactive decision support system that coordinates truck appointments with container handling operations to avoid excessive delays caused by container relocations. The performance of the approach is compared to existing practices of the online container relocation using a case study involving an operational Japanese container terminal. A rule-based heuristic for the online container relocation problem is formulated and compared to our proposed optimization approach. Taking into account a number of essential practical aspects, including trucking company preferences, container delivery schedules, yard capacity, and appointment levels, our proposed optimization approach has the potential to significantly reduce the number of relocations in the yard while making minimal shifts in the preferred container pickup times.

The Relationship Between Collaborative Innovation Risk and Performance of Industrial Parks

From the perspective of collaborative innovation risk, the relationship between different risks and IP is explored based on the BPNN (Back Propagation Neural Network) model. Then, the SE (Synergy Effect) and the DC (Dynamic Capability) are introduced as intermediary and moderating variables. Following specific enterprise data input, the relationship between collaborative innovation risk and IP is analyzed based on deep learning and its endogenous mechanism. Conclusion: the analysis model of enterprise IP based on deep learning BPNN can well process enterprise data; different types of collaborative innovation risks in industrial parks have significantly negative effects on IP; the negative effect of organizational collaborative risk on IP is −0.268; apart from market risk factors, the other collaborative innovation methods further hinder the improvement of IP by inhibiting SE; apart from the risk of benefit distribution, the other collaborative innovation risks and IP are negatively regulated by DC, and the regulation effect on the risk of innovative factor input is the largest.

Who benefits from individual placement and support? A meta-analysis.

Individual placement and support (IPS) is an evidence-based service model to support people with mental disorders in obtaining and sustaining competitive employment. IPS is increasingly offered to a broad variety of service users. In this meta-analysis we analysed the relative effectiveness of IPS for different subgroups of service users both based on the diagnosis and defined by a range of clinical, functional and personal characteristics. We included randomised controlled trials that evaluated IPS for service users diagnosed with any mental disorder. We examined effect sizes for the between-group differences at follow-up for three outcome measures (employment rate, job duration and wages), controlling for methodological confounders (type of control group, follow-up duration and geographic region). Using sensitivity analyses of subgroup differences, we analysed moderating effects of the following diagnostic, clinical, functional and personal characteristics: severe mental illness (SMI), common mental disorders (CMD), schizophrenia spectrum disorders, mood disorders, duration of illness, the severity of symptoms, level of functioning, age, comorbid alcohol and substance use, education level and employment history. IPS is effective in improving employment outcomes compared to the control group in all subgroups, regardless of any methodological confounder. However, IPS was relatively more effective for service users with SMIs, schizophrenia spectrum disorders and a low symptom severity. Although IPS was still effective for people with CMD and with major depressive disorder, it was relatively less effective for these subgroups. IPS was equally effective after both a short and a long follow-up period. However, we found small, but clinically not meaningful, differences in effectiveness of IPS between active and passive control groups. Finally, IPS was relatively less effective in European studies compared to non-European studies, which could be explained by a potential benefits trap in high welfare countries. IPS is effective for all different subgroups, regardless of diagnostic, clinical, functional and personal characteristics. However, there might be a risk of false-positive subgroup outcomes and results should be handled with caution. Future research should focus on whether, and if so, how the IPS model should be adapted to better meet the vocational needs of people with CMD and higher symptom severity.

Influence of fiber insertion and different material type on stress distribution in endocrown restorations: a 3D-FEA study

The study aimed to evaluate the effects of fibers insertion and restorative material type on the stress distribution in endocrowns with finite element analysis. Five 3D models of first mandibular molars were created and restored as follows: (1) IN: intact tooth, (2) IPS-E: tooth restored with lithium disilicat ceramic endocrowns, (3) C-E: tooth restored with composite endocrowns, (4) IPS-E + F: lithium disilicate ceramic endocrowns + fiber, (5) C-E + F: composite endocrowns + fiber. Vertical masticatory load was imitated with finite element analysis. The equivalent stress of von Mises failure criterion (mvM) was calculated. The maximum mvM stress, enamel/crown, dentin and cement were compared among models and strength of the materials. Endocrowns presented a lower mvM stress level than intact tooth. In IPS-E, the mvM stress values in the crown and dentin were higher than C-E, while the mvM stress values in cement were higher in C-E group. Fibers insertion did not affect the stress level of IPS-E and C-E groups. In IPS model, fiber showed more stress absorption than C-E. The restorative material type changed the stress distribution of endocrown restorations. The fiber application did not affect the stress distribution in either endocrown group. But, more stress absorption was observed in fiber under IPS-E than C-E.

Modeling and Experimental Study of the Effect of Pore Water Velocity on the Spectral Induced Polarization Signature in Porous Media

AbstractInduced polarization (IP) is increasingly applied for hydrological, environmental and agricultural purposes. Interpretation of IP data is based on understanding the relationship between the IP signature and the porous media property of interest. Mechanistic models on the IP phenomenon rely on the Poisson‐Nernst‐Plank equations, where diffusion and electromigration fluxes are the driving forces of charge transport and are directly related to IP. However, to our knowledge, the impact of advection flux on IP was not investigated experimentally and was not considered in any IP model. In this work, we measured the spectral IP (SIP) signature of porous media under varying flow conditions, in addition to developing and solving a model for SIP signature of porous media, which takes flow into consideration. The experimental and the model results demonstrate that as bulk velocity increases, polarization and relaxation time decrease. Using a numerical model, we established that fluid flow near the particle deforms the electrical double layer (EDL) structure, accounting for the observed reduction in polarization. We found a qualitative agreement between the model and the measurements. Still, the model overestimates the impact of flow rate on SIP signature, which we explain in terms of the flow boundary conditions. Overall, our results demonstrate the sensitivity of the SIP signature to fluid flow, highlighting the need to consider fluid velocity in the interpretation of the SIP signature of porous media, and opening an exciting new direction for noninvasive measurements of fluid flow at the EDL scale.

Allocating Students to Industry Placements Using Integer Programming and Ant Colony Optimisation

The increasing demand for work-ready students has heightened the need for universities to provide work integrated learning programs to enhance and reinforce students’ learning experiences. Students benefit most when placements meet their academic requirements and graduate aspirations. Businesses and community partners are more engaged when they are allocated students that meet their industry requirements. In this paper, both an integer programming model and an ant colony optimisation heuristic are proposed, with the aim of automating the allocation of students to industry placements. The emphasis is on maximising student engagement and industry partner satisfaction. As part of the objectives, these methods incorporate diversity in industry sectors for students undertaking multiple placements, gender equity across placement providers, and the provision for partners to rank student selections. The experimental analysis is in two parts: (a) we investigate how the integer programming model performs against manual allocations and (b) the scalability of the IP model is examined. The results show that the IP model easily outperforms the previous manual allocations. Additionally, an artificial dataset is generated which has similar properties to the original data but also includes greater numbers of students and placements to test the scalability of the algorithms. The results show that integer programming is the best option for problem instances consisting of less than 3000 students. When the problem becomes larger, significantly increasing the time required for an IP solution, ant colony optimisation provides a useful alternative as it is always able to find good feasible solutions within short time-frames.

Overcoming the Model‐Data‐Fit Problem in Porous Media: A Quantitative Method to Compare Invasion‐Percolation Models to High‐Resolution Data

AbstractInvasion percolation (IP) models offer a computationally inexpensive way to simulate multiphase flow in porous media, but only very few studies have compared their results to actual laboratory experimental image data. One reason might be the difficulty in quantitative assessment: IP models do not have a notion of experimental time but only have an integer counter for simulation steps that imply a time order. Previous experiments‐to‐model comparison studies have either used perceptual similarity or spatial moments as measures of comparison. In this work, we present an objective and quantitative comparison method that overcomes the limitations of the traditional approaches. First, we perform a volume‐based time matching between real‐time experiments and IP model results. Then, we evaluate the quality of fit using a diffused version of the so‐called Jaccard coefficient, which is known from image recognition. We demonstrate our method's applicability on a laboratory‐scale experimental video of gas injection in homogeneous, saturated sand, comparing it to a Macro‐IP model's simulation results. We consider random realizations of the initial entry pressure field to capture the sand's inherent pore‐scale heterogeneity. We find that our proposed method is reliable and intuitive in identifying realistic model realizations. The “strictness”of the method can be adjusted to relevant scales of interest via the blurring (diffusion) radius of the compared images. Beyond the application presented here, our comparison method can be used to compare any high‐resolution space‐time model output to experimental data given as raster images, thus providing valuable insights for model development in many research areas.

A Human IPS Model Implicates Embryonic B-Myeloid Fate Restriction As a Developmental Susceptibility to ETV6-RUNX1

Childhood acute lymphoblastic leukemia (cALL) is clinically distinct from that in adults with higher incidence, better prognosis, a distinct mutational spectrum and that the pre-leukemic initiating events frequently occur in utero . One hypothesis for this difference is that childhood cancers arise in transient cell compartments unique to early human development. We have explored this in ETV6-RUNX1-associated cALL, where evidence from twin studies and neonatal heel prick testing has shown that this translocation occurs in utero and is an initiating event . Consistent with this, epidemiological evidence and changes in placental structure suggest that leukemic initiation occurs in the first trimester when both extra-embryonically and intra-embryonically-derived waves of hematopoiesis coexist. We therefore characterized B-lymphoid development in first trimester human embryos aiming to identify a candidate compartment vulnerable to the pre-leukemic initiating effect of ETV6-RUNX1. Using CD19 as a marker associated with definitive B lineage restriction in adult hematopoiesis, we established that the first CD19+ B cell progenitors emerged in the human fetal liver (FL) at Carnegie Stage (CS) 17 and were distinct from their cord blood or adult bone marrow counterparts in that the majority expressed surface IL7 receptor. Analysis of IL7R expression also uncovered a CD19-IL7R+ candidate B progenitor compartment. CD19-IL7R+ cells produced CD19+ B cells in vitro, possessed IGH DJ recombination, but also exhibited myeloid (but not megakaryocyte-erythroid) potential. Single cell analysis revealed co-expression of lymphoid and myeloid lineage programs in CD19-IL7R+ progenitors at CS20, whereas at CS17 their transcriptional programs appeared markedly more myeloid, indicating that lymphoid potential is first acquired in CD19-IL7R+ progenitors in this developmental window. Myeloid cells derived from CS20 IL7R progenitors harbored IGH DJ rearrangements, confirming their origins from a RAG-expressing lymphoid progenitor. We tested whether these distinct aspects of embryonic lymphoid development could be modeled using human pluripotent stem cells (hPSCs). In vitro B cell differentiation of hPSCs produced IL7R expressing CD19+ B cells as well as a CD19-IL7R+ progenitor that also “switched” from myeloid to B-myeloid programming during culture. At the global transcriptional level the hPSC-derived lymphoid hierarchy maps closely with that from the embryo, with both separating from the adult, suggesting that hPSCs provide a developmentally relevant model of early fetal B lymphopoiesis. We next used CRIPSR-directed homologous recombination to knock in the cDNA of RUNX1 into intron V of ETV6 resulting in expression of ETV6-RUNX1 under the endogenous ETV6 promoter. ETV6-RUNX1 hPSCs displayed a partial block in B lymphoid differentiation at the CD19-IL7R+ progenitor to proB cell transition and competitive co-culture demonstrated a selective advantage to the ETV6-RUNX1+ CD19-IL7R+ progenitors over their wild type counterparts. Single cell transcriptional analysis showed that the ETV6-RUNX1+ CD19+ B cells that do emerge express an abnormal B-myeloid gene expression signature akin to that seen in the CD19-IL7R+ progenitor. Consistent with this programming, when grown in myeloid cytokines, ETV6-RUNX1+ CD19+ B cells exhibited both a survival advantage and an aberrant ability to form IGH DJ rearranged macrophage colonies. Both the transcriptional and functional phenotypes were dependent on ETV6-RUNX1, as demonstrated by their reversion upon cre-mediated excision of the knock-in cassette. Our data support a model whereby ETV6-RUNX1 inhibits effective resolution of a lympho-myeloid program present in early fetal CD19-IL7R+ progenitors, impeding B lineage differentiation and resulting in the production of B cells with aberrant myeloid gene expression and potential. Such programming may explain the relatively high levels of myeloid antigen expression and lineage promiscuity seen in ETV6-RUNX1 and other cALLs. This hPSC model of ETV6-RUNX1 pre-leukemia will afford systematic evaluation of the contribution of second hit mutations seen in cALL and offers a tractable platform for drug screening. In conclusion we propose that a novel IL7R+ lympho-myeloid progenitor in the human embryonic fetal liver is a candidate target cell for in utero pre-leukemic initiation in childhood B-ALL. DisclosuresNo relevant conflicts of interest to declare.

The block relocation problem with appointment scheduling

In many container terminals, containers are piled vertically and horizontally in the terminal yard, limited mainly by the dimensions of the yard crane. Import and export containers are typically stacked separately. An external truck can access the terminal to pick up an import container only after making an appointment reserving a pickup time. To reduce truck waiting time inside the terminal, container pickup appointments are normally scheduled on a time window basis. However, when a truck arrives at the terminal yard at the appointed time, it is common for the target container not to be at the top of its stack, resulting in unproductive relocations to remove all the containers stacked above the target container and thus increasing the truck's waiting time. To minimize the number of relocations, the Block Relocation Problem (BRP) is usually solved independently, without consideration of appointment scheduling. In this paper, we introduce a new optimization problem—the Block Relocation Problem with Appointment Scheduling (BRPAS)—to jointly address the two issues. To solve the problem, two binary IP models are proposed, and examples from the literature are solved to confirm the performance of the two models. The proposed formulations are further extended to cover several operational aspects related to the flexibility of container pickup operations. Results show that the proposed approach can improve container relocation operations at terminal yards by coordinating with appointment scheduling.

Experimental analysis, modelling of evaporation and ignition characteristics of different biodiesels using RSM

In this work, the droplet evaporation rate and ignition probability of biodiesel of neem and karanja were investigated and modelled using RSM. The biodiesel from neem and karanja oil were prepared using trasesterification. Thermo-physical properties of fuels was tested. Further, a test rig was fabricated to find out the rate of evaporation of fuel droplet as well as the ignition probability of the biodiesel and comparison was done so as to find out the feasibility for combustion application. It was concluded that the ignition probability and evaporation rate of karanja biodiesel was better than neem biodiesel. Also, evaporation rate and ignition probability above critical surface temperature (450 °C) drastically increased for all fuel. The model of ER and IP was found statistically significant and predict responses accurately at any surface temperature.

Evaluación de ataques DDoS y fuerza bruta utilizando entorno virtual Kali Linux como plataforma experimental.

La investigación se enfoca en la evaluación de ataques de denegación de servicios tipo SYN Flood y ataques de fuerza bruta, utilizando como plataforma de experimentación un entorno virtual de red que permita identificar cómo actúan dichos ataques en la saturación del ancho de banda y descubrir la contraseña del usuario administrador para poder ingresar a un sitio web con fines maliciosos. Para validar está investigación se desarrolló un mecanismo de detección y mitigación de los ataques en los hosts víctimas, a nivel de la capa de Internet del modelo TCP/IP con la formulación de reglas a nivel del firewall Iptables en Linux Centos 6.7.

Supplier Selection and Order Allocation under a Carbon Emission Trading Scheme: A Case Study from China.

In implementing carbon emission trading schemes (ETSs), the cost of carbon embedded in raw materials further complicates supplier selection and order allocation. Firms have to make decisions by comprehensively considering the cost and the important intangible performance of suppliers. This paper uses an analytic network process–integer programming (ANP–IP) model based on a multiple-criteria decision-making (MCDM) approach to solve the above issues by first evaluating and then optimizing them. The carbon embedded in components, which can be used to reflect the carbon competitiveness of a supplier, is integrated into the ANP–IP model. In addition, an international large-scale electronic equipment manufacturer in China is used to validate the model. Different scenarios involving different carbon prices are designed to analyze whether China’s current ETS drives firms to choose more low-carbon suppliers. The results show that current carbon constraints are not stringent enough to drive firms to select low-carbon suppliers. A more stringent ETS with a higher carbon price could facilitate the creation of a low-carbon supply chain. The analysis of the firm’s total cost and of the total cost composition indicates that the impact of a more stringent ETS on the firm results mainly from indirect costs instead of direct costs. The indirect cost is caused by the suppliers’ transfer of part of the low-carbon investment in the product, and arises from buying carbon permits with high carbon prices. Implications revealed by the model analysis are discussed to provide guidance to suppliers regarding the balance between soft competitiveness and low-carbon production capability and to provide guidance to the firm on how to cooperate with suppliers to achieve a mutually beneficial situation.

Evidensbaserad metod eller praktisk verksamhet?

Evidence-based method or practical support for users? – Supported Employment without IPSSince the Mental Health Reform of 1995, the social service in Sweden is required to offer ”meaningful activities” to persons with mental health impairments. This requirement has usually been met by the social service’s ”daily activities” centres, which do not have contact with the competitive labour market. ”Supported Employment” (SE) is a method which can be used to help people with mental health, neuropsychiatric or intellectual impairments to regular work places. Based on international research, the SE model ”Individual Placement and Support” (IPS) is recommended in national guidelines as an evidence-based method. However, IPS can be difficult to implement, since the model requires integrated teams, while in the Swedish system health care, social service and vocational rehabilitation belong to different sectors. Another reason is that subsidized forms of employment and internship are more usual in Sweden than in many other countries. This study investigates SE practices in three municipalities which do not follow all of the IPS model’s eight ”basic principles”. The results show that after 18 months many persons who had been totally without regular activities, or had access only to a daily activities centre, had some form of work or internship at regular workplaces. Twenty per cent had paid employment. The author interprets IPS as a ”packaging” of SE which the municipalities have ”translated” locally to offer SE activities which benefit users. This can also be seen as evidence-based practice (EBP), in which the best available research has been combined with the wishes of users and the professionals’ judgement of what is possible to offer in practice. Further research is needed concerning the value for users of prolonged internships which do not lead to paid employment.

A Lightweight Forwarding Strategy for Named Data Networking in Low-end IoT

The proliferation of Internet of Things (IoT) devices has given a new dimension to networking operations. In fact, IoT issues in terms of complex communication patterns, dynamic topologies and security force to re-think basic networking operations in a more adapted way. Moreover, the IoT needs contribute to show the limitations of the IP model to support content-based applications, and the emergence of the Information Centric Networking (ICN) paradigm seems to be more compliant with the IoT vision. In this context, to enable the ICN model in IoT devices, we present a lightweight forwarding strategy for Named Data Networking (NDN) over IEEE 802.15.4. NDN is an ICN architecture with a great potential for the IoT and future Internet. This paper presents a forwarding strategy that reduces network overhead to the bare minimum, while keeping satisfactory performance in different IoT application scenarios. To forward named contents without node addresses, the strategy is based on a reinforcement learning technique that provides an accurate broadcast-based forwarding with a reduced overhead.

Abstract 1442: Chimeric antigen receptor T cell therapy targeting ICAM-1 in gastric cancer

Abstract Introduction: Despite advances in treatment, gastric cancer (GC) remains among the most fatal malignancies. Intercellular adhesion molecule-1 (ICAM-1) is overexpressed and associated with various cancers, including GC. We developed a third-generation chimeric antigen receptor (CAR) targeting ICAM-1 (ICAM-1-CAR) and investigated ICAM-1 as a immunotherapeutic target for CAR T therapy in GC. Methods: We investigated ICAM-1 expression in tissues of curatively resected GC patients (n=134) by immunohistochemical staining to determine its prognostic value. Effector to target assays were performed with ICAM-1-CAR T cells co-cultured with 8 GC cell lines with varying levels of ICAM-1 expression to investigate specific target cell death. We created a firefly luciferase-expressing human GC model in mice to measure tumor growth and killing by whole body bioluminescence imaging. To find the best treatment route and optimal dose of T cells in GC mice model, ICAM-1-CAR was injected via tail vein and intraperitoneal administration (IP) at two different doses, i.e., low dose (1 million CAR T) and high dose (10 million live T cells). Results: The ICAM-1 expression was higher in advanced stages (22.2% in stage II vs. 48.8% in stage III, p=0.002) and the patients with high ICAM-1 expression showed significantly poor survival (disease free survival, hazard ration [HR], 4.55, p<0.001; overall survival, HR, 3.89, p<0.001). The efficacy of ICAM-1-CAR T cells in vitro showed a strong correlation with the level of ICAM-1 expression in target cells, i.e., faster killing of GC with higher ICAM-1 expression. ICAM-1-CART facilitated regression of tumor in MKN-28 xenograft IP model. Additionally, the efficacy of ICAM-1-CAR was more prominent in mice treated with high dose of T cell and IP route. Compared to no treatment, ICAM-1CAR via IP led to tumor reduction that persisted for over 80 days and significantly improved survival without toxicity (p=0.049). Conclusion: ICAM-1 specific CAR T cells demonstrated significant therapeutic efficacy in vitro and in vivo against preclinical GC models. ICAM-1-CAR T cells may be developed into a promising treatment strategy for patients with ICAM-1 positive GC cancers. Citation Format: Minkyu Jung, Marjan Zaman, Ygindra Vedvyas, Xianglan Zhang, Jaclyn E. McCloskey, Yanping Yang, Irene M. Min, Raza Zamegar, Yoon Young Choi, Jae-Ho Cheong, Sung Hoon Noh, Sun Young Rha, Hyun Cheol Chung, Moonsoo M. Jin. Chimeric antigen receptor T cell therapy targeting ICAM-1 in gastric cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1442.

Scheduling of Student-development Activities via an Integration of Compromised-AHP and Transportation Model

One of the main challenges to schedule student-development activities in a university is to avoid time conflicts that may affect participation from the students. This can be achieved by having a proper planning and scheduling of student-development activities. In this paper, we demonstrate how Compromised-Analytic Hierarchy Process (C-AHP) and 0-1 Integer Programming (0-1 IP) models were utilized to schedule a set of student activities to be run by the UUM’s Student Body for the 2018/2019 academic year. The C-AHP was used to determine the activity-month preference values, while 0-1 IP models were constructed to schedule a set of student activities that can be executed successfully with high participation rates from the students. Two different 0-1 IP models, which can be viewed as transportation models: Model A and Model B were constructed. Model A was formulated without the month preference to conduct the activities, whereas Model B took consideration on the month preference. For Model A, the optimal result indicated that the activities scheduled were concentrated towards the earlier months of the academic year. On the other hand, the scheduling of activities provided by Model B was better-spread across the months of the academic year. The methods applied in this study will be useful to be implemented by organizations with many subunits in the management of planned activities in order to avoid time conflicts among activities, which in turn will minimize the chances of activity failure.